This document summarizes a study that compares entity networks extracted from Wikipedia and Yahoo Answers to investigate interestingness in serendipitous search. Entity networks are extracted from each dataset and enriched with sentiment, quality, and popularity metadata. User studies compare the interestingness of search results for various queries between the two datasets. Results from Yahoo Answers are generally found to be more diverse, interesting, and less frustrating than results from Wikipedia, which tend to be more relevant but less interesting to the user.
11.0004www.iiste.org call for paper.on demand quality of web services using r...Alexander Decker
This document summarizes a research paper on detecting duplicate records across multiple web databases. It proposes an unsupervised, online approach called UDD that uses two classifiers - Weighted Component Similarity Summing (WCSS) and Support Vector Machine (SVM) - in an iterative process to identify duplicate record pairs without requiring training data. The paper outlines the key components of the UDD approach, including how WCSS assigns weights to record fields, how duplicate records are identified based on similarity thresholds, and how the two classifiers cooperate in each iteration to find new duplicate pairs. Experimental results demonstrate the effectiveness of the proposed approach.
4.on demand quality of web services using ranking by multi criteria 31-35Alexander Decker
1) The document proposes an unsupervised, online approach called UDD for detecting duplicate records across query results from multiple web databases.
2) Two classifiers, weighted component similarity summing and support vector machines, are used cooperatively in an iterative process to identify duplicate record pairs without requiring labeled training data.
3) The approach assigns weights to record fields based on their similarity values in duplicate and non-duplicate record pairs, and uses a weighted sum of component similarities to determine if two records are duplicates.
COMPARISON OF COLLABORATIVE FILTERING ALGORITHMS WITH VARIOUS SIMILARITY MEAS...IJCSEA Journal
This document compares collaborative filtering algorithms with various similarity measures for movie recommendations. It summarizes User-based and Item-based collaborative filtering algorithms implemented in the Apache Mahout framework. Various similarity measures used in collaborative filtering are discussed, including Euclidean distance, Log Likelihood Ratio, Pearson correlation, Tanimoto coefficient, Uncentered Cosine, and Spearman correlation. The document concludes that Item-based algorithms typically provide better results than User-based algorithms for movie recommendations.
Social bookmarking system is a web-based resource sharing system that allows users to upload, share and
organize their resources i.e. bookmarks and publications. The system has shifted the paradigm of
bookmarking from an individual activity limited to desktop to a collective activity on the web. It also
facilitates user to annotate his resource with free form tags that leads to large communities of users to
collaboratively create accessible repositories of web resources. Tagging process has its own challenges
like ambiguity, redundancy or misspelled tags and sometimes user tends to avoid it as he has to describe
tag at his own. The resultant tag space is noisy or very sparse and dilutes the purpose of tagging. The
effective solution is Tag Recommendation System that automatically suggests appropriate set of tags to
user while annotating resource. In this paper, we propose a framework that does not depend on tagging
history of the resource or user and thereby capable of suggesting tags to the resources which are being
submitted to the system first time. We model tag recommendation task as multi-label text classification
problem and use Naive Bayes classifier as the base learner of the multilabel classifier. We experiment with
Boolean, bag-of-words and term frequency-inverse document frequency (TFIDF) representation of the
resources and fit appropriate distribution to the data based on the representation used. Impact of feature
selection on the effectiveness of the tag recommendation is also studied. Effectiveness of the proposed
framework is evaluated through precision, recall and f-measure metrics.
This document provides an overview of tag-based social recommender systems. It discusses different types of recommender systems including content-based, collaborative filtering, and hybrid recommender systems. It also describes how recommender systems work using cosine similarity, Pearson correlation, and TF-IDF models. Popular datasets like MovieLens and Flickr are also summarized that are used to implement and evaluate recommender system algorithms.
DBPEDIA BASED FACTOID QUESTION ANSWERING SYSTEMIJwest
The document describes a factoid question answering system called SELNI that is based on the DBpedia knowledge base. It discusses the system's architecture which involves three main steps: 1) question classification and generating decision models using machine learning, 2) question processing to extract resources and keywords from the question, and 3) formulating and executing SPARQL queries on DBpedia to obtain answers. It also provides details on using support vector machines for question classification and generating models to determine the answer type for a given question. The system aims to answer simple factual questions by utilizing the structured data in DBpedia.
11.0004www.iiste.org call for paper.on demand quality of web services using r...Alexander Decker
This document summarizes a research paper on detecting duplicate records across multiple web databases. It proposes an unsupervised, online approach called UDD that uses two classifiers - Weighted Component Similarity Summing (WCSS) and Support Vector Machine (SVM) - in an iterative process to identify duplicate record pairs without requiring training data. The paper outlines the key components of the UDD approach, including how WCSS assigns weights to record fields, how duplicate records are identified based on similarity thresholds, and how the two classifiers cooperate in each iteration to find new duplicate pairs. Experimental results demonstrate the effectiveness of the proposed approach.
4.on demand quality of web services using ranking by multi criteria 31-35Alexander Decker
1) The document proposes an unsupervised, online approach called UDD for detecting duplicate records across query results from multiple web databases.
2) Two classifiers, weighted component similarity summing and support vector machines, are used cooperatively in an iterative process to identify duplicate record pairs without requiring labeled training data.
3) The approach assigns weights to record fields based on their similarity values in duplicate and non-duplicate record pairs, and uses a weighted sum of component similarities to determine if two records are duplicates.
COMPARISON OF COLLABORATIVE FILTERING ALGORITHMS WITH VARIOUS SIMILARITY MEAS...IJCSEA Journal
This document compares collaborative filtering algorithms with various similarity measures for movie recommendations. It summarizes User-based and Item-based collaborative filtering algorithms implemented in the Apache Mahout framework. Various similarity measures used in collaborative filtering are discussed, including Euclidean distance, Log Likelihood Ratio, Pearson correlation, Tanimoto coefficient, Uncentered Cosine, and Spearman correlation. The document concludes that Item-based algorithms typically provide better results than User-based algorithms for movie recommendations.
Social bookmarking system is a web-based resource sharing system that allows users to upload, share and
organize their resources i.e. bookmarks and publications. The system has shifted the paradigm of
bookmarking from an individual activity limited to desktop to a collective activity on the web. It also
facilitates user to annotate his resource with free form tags that leads to large communities of users to
collaboratively create accessible repositories of web resources. Tagging process has its own challenges
like ambiguity, redundancy or misspelled tags and sometimes user tends to avoid it as he has to describe
tag at his own. The resultant tag space is noisy or very sparse and dilutes the purpose of tagging. The
effective solution is Tag Recommendation System that automatically suggests appropriate set of tags to
user while annotating resource. In this paper, we propose a framework that does not depend on tagging
history of the resource or user and thereby capable of suggesting tags to the resources which are being
submitted to the system first time. We model tag recommendation task as multi-label text classification
problem and use Naive Bayes classifier as the base learner of the multilabel classifier. We experiment with
Boolean, bag-of-words and term frequency-inverse document frequency (TFIDF) representation of the
resources and fit appropriate distribution to the data based on the representation used. Impact of feature
selection on the effectiveness of the tag recommendation is also studied. Effectiveness of the proposed
framework is evaluated through precision, recall and f-measure metrics.
This document provides an overview of tag-based social recommender systems. It discusses different types of recommender systems including content-based, collaborative filtering, and hybrid recommender systems. It also describes how recommender systems work using cosine similarity, Pearson correlation, and TF-IDF models. Popular datasets like MovieLens and Flickr are also summarized that are used to implement and evaluate recommender system algorithms.
DBPEDIA BASED FACTOID QUESTION ANSWERING SYSTEMIJwest
The document describes a factoid question answering system called SELNI that is based on the DBpedia knowledge base. It discusses the system's architecture which involves three main steps: 1) question classification and generating decision models using machine learning, 2) question processing to extract resources and keywords from the question, and 3) formulating and executing SPARQL queries on DBpedia to obtain answers. It also provides details on using support vector machines for question classification and generating models to determine the answer type for a given question. The system aims to answer simple factual questions by utilizing the structured data in DBpedia.
Evaluating and Enhancing Efficiency of Recommendation System using Big Data A...IRJET Journal
This document discusses evaluating and enhancing the efficiency of recommendation systems using big data analytics. It begins with an abstract that outlines recommendation systems, collaborative filtering, and the need for big data analytics due to large datasets. It then discusses specific collaborative filtering techniques like user-based, item-based, and matrix factorization. It describes challenges like scalability that big data analytics can help address. The document evaluates recommendation algorithms using metrics like MAE, RMSE, precision and time taken on movie recommendation datasets. It aims to design an efficient recommendation system using the best techniques.
Social media recommendation based on people and tags (final)es712
1) The document proposes methods to generate personalized recommendations in social media platforms based on people relationships and tags.
2) An evaluation of three recommendation approaches that utilize direct tags, indirect tags through related items, and incoming tags from other users found that a combination of direct tags and incoming tags most accurately represented a user's interests.
3) A user study tested five recommendation approaches and found that combining people relationships and tags into a user profile achieved the highest ratings for interesting recommendations and lowest for non-interesting items.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
A Priori Relevance Based On Quality and Diversity Of Social SignalsIsmail BADACHE
This document summarizes a research paper that studied using social signals from networks to enhance document retrieval. It investigated how the diversity and quality of social signals associated with documents impacts relevance. The researchers hypothesized that documents with an equitable distribution of signals from different networks would be more relevant than documents dominated by a single signal. They proposed methods to estimate signal diversity and evaluated their approach on an IMDb dataset containing documents and relevance judgments, outperforming baselines that did not consider social signals or their properties.
AN AFFECTIVE AWARE PSEUDO ASSOCIATION METHOD TO CONNECT DISJOINT USERS ACROSS...ijnlc
This document proposes an Affective Aware Pseudo Association Method to connect disjoint users across multiple datasets for validating a text-based emotion aware recommender system. The method uses user emotion vectors to associate users with different IDs across datasets based on the similarity of their emotion profiles. This allows combining data from different datasets to improve the evaluation process for assessing top recommendation lists. The document provides background on related work with emotion aware recommender systems and describes the methodology, which uses item and user emotion embeddings derived from sentiment analysis of text to build a multi-channel emotion aware recommender system.
Articulo mary-la mejor escuela para padres-2011ProfLuis
El documento argumenta que los hijos enseñan más a los padres de lo que los padres enseñan a los hijos. Aunque los padres intentan educar a sus hijos, los hijos educan a los padres de manera natural sin intentarlo. Los hijos les enseñan a los padres a dejar los problemas del trabajo fuera de casa, a practicar la paciencia y la responsabilidad, y les exigen justicia. Los hijos también les piden a los padres que sean un ejemplo para ellos.
La reunión no pudo continuar porque la tarea no estaba completa, y nadie en el salón tenía un proyecto claro definido. Se dio tiempo para definir mejor el proyecto, pero no hubo oportunidad de discutirlo debido a la falta de tiempo.
La profesora Luz Marina dio tiempo en clase para que los equipos trabajaran en su proyecto, revisando el objetivo, la justificación y el problema. Los estudiantes aplicaron conceptos aprendidos en clase para completar estas tres secciones en su carpeta grupal, utilizando también tiempo de otra clase para terminar. Al final, su equipo entregó todo lo requerido en la carpeta para el proyecto.
Ct impuestos nacionales ok impuesto a las ventasMarka Empresas
El documento establece las fechas límite para la declaración y pago del impuesto al valor agregado (IVA) de forma bimestral, cuatrimestral o anual para personas jurídicas y naturales en España. Detalla los porcentajes de pago que corresponden a cada periodo y las fechas específicas para realizar los pagos en los años 2013 y 2014.
El documento describe una actividad en clase donde los estudiantes trabajaron en equipos con roles asignados para construir una estructura con materiales provistos. Cada miembro del equipo tenía restricciones sobre qué parte de su cuerpo podía usar. Aunque intentaron construir la Torre Eiffel y una patineta, terminaron haciendo una base de helicóptero. Su mayor debilidad fue la comunicación y desorganización dentro del equipo. También se mencionó que para el próximo lunes debían traer uvas por equipo.
La clase terminó la unidad 3 del módulo 2 de finanzas, pero la profesora no recogió la tarea porque algunos compañeros no la habían hecho. La profesora Luz Marina enseñó recursos a los compañeros nuevos.
Este documento presenta un plan de desarrollo y adiestramiento para maestros de una escuela de educación vocacional industrial que se encuentra en un plan de mejoramiento debido al bajo rendimiento académico de los estudiantes. El plan propone realizar investigaciones sobre los rezagos de los estudiantes y la escuela e implementar estrategias identificadas para fortalecer los conocimientos de los maestros, con el objetivo de que puedan enseñar de manera efectiva y los estudiantes superen las pruebas para salir del plan de mejoramiento.
The document discusses agritourism and alternative enterprises as ways for farmers and ranchers to diversify their income. It provides examples of different types of agritourism activities like farm tours, u-pick operations, and on-farm dining. It also lists 14 categories of income generating opportunities for farms and ranches, including product processing, festivals, equine activities, hunting/fishing, and nature recreation. The document emphasizes that agritourism requires a focus on customers rather than just production, and provides tips for farmers to test potential new enterprises by marketing to family and friends before making large investments.
Este documento presenta la distribución de trabajo para los docentes del Colegio San Isidro para el período 2013-2014. Se asignan horas y cursos a 43 docentes de diferentes áreas como instrumental, científica, desarrollo social y personal, y técnico profesional.
The document outlines a digital strategy for Pure Michigan to increase viewership of tourism videos among Chinese audiences. It proposes uploading the videos to Chinese platforms like YouKu and sharing on Weibo and Renren. It also suggests engaging Chinese social media influencers and conducting a photo shoot campaign with Chinese students at Michigan State University to promote the videos and brand among their social networks. The key performance indicator is the total viewership of 5 Pure Michigan commercials on YouKu.
An introduction to MongoDB by César Trigo #OpenExpoDay 2014OpenExpoES
MongoDB is a leading open source, non-relational database that is document-oriented, schema-less, and highly scalable. It allows companies to be more agile and scalable by improving the customer experience, allowing schemas to change quickly, enabling big data, accelerating time to market, and reducing costs. MongoDB is used by many large companies and has a growing community of over 7 million downloads and 200,000 education registrations.
Este documento describe los conceptos fundamentales de los algoritmos y su diseño. Explica que un algoritmo es un conjunto finito de instrucciones que especifican una secuencia de operaciones para resolver un problema de manera precisa y sin ambigüedades. También describe métodos para el diseño de algoritmos como la división del problema en subproblemas más pequeños y la refinación sucesiva de los pasos del algoritmo.
Tourism and travel agency management - cambridgeDoanh Tưng Tửng
This document provides instructions for students on how to study the materials for the Tourism & Travel Agency Management program through Cambridge International College (CIC). It outlines a six stage process:
1. Read the study guide carefully before beginning module one.
2. Study each module one by one, reading it multiple times and taking notes.
3. Answer self-assessment test questions at the end of each module without references.
4. Compare answers to recommended answers and identify any areas needing further study.
5. Continue this process for each subsequent module in the first study manual.
6. Upon completion of the first manual, the same process is to be followed for the second manual. Strict adherence
El documento presenta la distribución de asignaturas y profesores por paralelos para los grados de octavo a tercero de bachillerato en el Colegio "San Isidro" para el año 2013-2014. Se asignan diferentes profesores a cada asignatura para los cinco paralelos de cada grado, además de nombrar a los guías de curso e inspectores de cada uno.
El documento describe un proyecto para implementar las tecnologías de la información y la comunicación (TIC) en una institución educativa con recursos limitados. El proyecto se llevaría a cabo en dos fases, comenzando con la creación de una página web, adecuación de tres aulas y capacitación de profesores. En la segunda fase se implementarían los TIC, se diseñarían cursos didácticos y objetivos de aprendizaje. El proyecto enfrenta desafíos como la falta de conocimiento técnico y recurs
Business of Inbound tour operators at a glanceDoanh Tưng Tửng
This document provides an overview of the structure of the international travel industry. It defines key terms like inbound/outbound operators and discusses the different types of travel operations including travel agencies, tour operators, ground operators, and local service providers. The main types of operations are described in terms of their target markets, the products and services they offer, and their typical distribution channels. Understanding the structure of the industry and roles of different players is important for tour operators to make strategic business decisions.
Evaluating and Enhancing Efficiency of Recommendation System using Big Data A...IRJET Journal
This document discusses evaluating and enhancing the efficiency of recommendation systems using big data analytics. It begins with an abstract that outlines recommendation systems, collaborative filtering, and the need for big data analytics due to large datasets. It then discusses specific collaborative filtering techniques like user-based, item-based, and matrix factorization. It describes challenges like scalability that big data analytics can help address. The document evaluates recommendation algorithms using metrics like MAE, RMSE, precision and time taken on movie recommendation datasets. It aims to design an efficient recommendation system using the best techniques.
Social media recommendation based on people and tags (final)es712
1) The document proposes methods to generate personalized recommendations in social media platforms based on people relationships and tags.
2) An evaluation of three recommendation approaches that utilize direct tags, indirect tags through related items, and incoming tags from other users found that a combination of direct tags and incoming tags most accurately represented a user's interests.
3) A user study tested five recommendation approaches and found that combining people relationships and tags into a user profile achieved the highest ratings for interesting recommendations and lowest for non-interesting items.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
A Priori Relevance Based On Quality and Diversity Of Social SignalsIsmail BADACHE
This document summarizes a research paper that studied using social signals from networks to enhance document retrieval. It investigated how the diversity and quality of social signals associated with documents impacts relevance. The researchers hypothesized that documents with an equitable distribution of signals from different networks would be more relevant than documents dominated by a single signal. They proposed methods to estimate signal diversity and evaluated their approach on an IMDb dataset containing documents and relevance judgments, outperforming baselines that did not consider social signals or their properties.
AN AFFECTIVE AWARE PSEUDO ASSOCIATION METHOD TO CONNECT DISJOINT USERS ACROSS...ijnlc
This document proposes an Affective Aware Pseudo Association Method to connect disjoint users across multiple datasets for validating a text-based emotion aware recommender system. The method uses user emotion vectors to associate users with different IDs across datasets based on the similarity of their emotion profiles. This allows combining data from different datasets to improve the evaluation process for assessing top recommendation lists. The document provides background on related work with emotion aware recommender systems and describes the methodology, which uses item and user emotion embeddings derived from sentiment analysis of text to build a multi-channel emotion aware recommender system.
Articulo mary-la mejor escuela para padres-2011ProfLuis
El documento argumenta que los hijos enseñan más a los padres de lo que los padres enseñan a los hijos. Aunque los padres intentan educar a sus hijos, los hijos educan a los padres de manera natural sin intentarlo. Los hijos les enseñan a los padres a dejar los problemas del trabajo fuera de casa, a practicar la paciencia y la responsabilidad, y les exigen justicia. Los hijos también les piden a los padres que sean un ejemplo para ellos.
La reunión no pudo continuar porque la tarea no estaba completa, y nadie en el salón tenía un proyecto claro definido. Se dio tiempo para definir mejor el proyecto, pero no hubo oportunidad de discutirlo debido a la falta de tiempo.
La profesora Luz Marina dio tiempo en clase para que los equipos trabajaran en su proyecto, revisando el objetivo, la justificación y el problema. Los estudiantes aplicaron conceptos aprendidos en clase para completar estas tres secciones en su carpeta grupal, utilizando también tiempo de otra clase para terminar. Al final, su equipo entregó todo lo requerido en la carpeta para el proyecto.
Ct impuestos nacionales ok impuesto a las ventasMarka Empresas
El documento establece las fechas límite para la declaración y pago del impuesto al valor agregado (IVA) de forma bimestral, cuatrimestral o anual para personas jurídicas y naturales en España. Detalla los porcentajes de pago que corresponden a cada periodo y las fechas específicas para realizar los pagos en los años 2013 y 2014.
El documento describe una actividad en clase donde los estudiantes trabajaron en equipos con roles asignados para construir una estructura con materiales provistos. Cada miembro del equipo tenía restricciones sobre qué parte de su cuerpo podía usar. Aunque intentaron construir la Torre Eiffel y una patineta, terminaron haciendo una base de helicóptero. Su mayor debilidad fue la comunicación y desorganización dentro del equipo. También se mencionó que para el próximo lunes debían traer uvas por equipo.
La clase terminó la unidad 3 del módulo 2 de finanzas, pero la profesora no recogió la tarea porque algunos compañeros no la habían hecho. La profesora Luz Marina enseñó recursos a los compañeros nuevos.
Este documento presenta un plan de desarrollo y adiestramiento para maestros de una escuela de educación vocacional industrial que se encuentra en un plan de mejoramiento debido al bajo rendimiento académico de los estudiantes. El plan propone realizar investigaciones sobre los rezagos de los estudiantes y la escuela e implementar estrategias identificadas para fortalecer los conocimientos de los maestros, con el objetivo de que puedan enseñar de manera efectiva y los estudiantes superen las pruebas para salir del plan de mejoramiento.
The document discusses agritourism and alternative enterprises as ways for farmers and ranchers to diversify their income. It provides examples of different types of agritourism activities like farm tours, u-pick operations, and on-farm dining. It also lists 14 categories of income generating opportunities for farms and ranches, including product processing, festivals, equine activities, hunting/fishing, and nature recreation. The document emphasizes that agritourism requires a focus on customers rather than just production, and provides tips for farmers to test potential new enterprises by marketing to family and friends before making large investments.
Este documento presenta la distribución de trabajo para los docentes del Colegio San Isidro para el período 2013-2014. Se asignan horas y cursos a 43 docentes de diferentes áreas como instrumental, científica, desarrollo social y personal, y técnico profesional.
The document outlines a digital strategy for Pure Michigan to increase viewership of tourism videos among Chinese audiences. It proposes uploading the videos to Chinese platforms like YouKu and sharing on Weibo and Renren. It also suggests engaging Chinese social media influencers and conducting a photo shoot campaign with Chinese students at Michigan State University to promote the videos and brand among their social networks. The key performance indicator is the total viewership of 5 Pure Michigan commercials on YouKu.
An introduction to MongoDB by César Trigo #OpenExpoDay 2014OpenExpoES
MongoDB is a leading open source, non-relational database that is document-oriented, schema-less, and highly scalable. It allows companies to be more agile and scalable by improving the customer experience, allowing schemas to change quickly, enabling big data, accelerating time to market, and reducing costs. MongoDB is used by many large companies and has a growing community of over 7 million downloads and 200,000 education registrations.
Este documento describe los conceptos fundamentales de los algoritmos y su diseño. Explica que un algoritmo es un conjunto finito de instrucciones que especifican una secuencia de operaciones para resolver un problema de manera precisa y sin ambigüedades. También describe métodos para el diseño de algoritmos como la división del problema en subproblemas más pequeños y la refinación sucesiva de los pasos del algoritmo.
Tourism and travel agency management - cambridgeDoanh Tưng Tửng
This document provides instructions for students on how to study the materials for the Tourism & Travel Agency Management program through Cambridge International College (CIC). It outlines a six stage process:
1. Read the study guide carefully before beginning module one.
2. Study each module one by one, reading it multiple times and taking notes.
3. Answer self-assessment test questions at the end of each module without references.
4. Compare answers to recommended answers and identify any areas needing further study.
5. Continue this process for each subsequent module in the first study manual.
6. Upon completion of the first manual, the same process is to be followed for the second manual. Strict adherence
El documento presenta la distribución de asignaturas y profesores por paralelos para los grados de octavo a tercero de bachillerato en el Colegio "San Isidro" para el año 2013-2014. Se asignan diferentes profesores a cada asignatura para los cinco paralelos de cada grado, además de nombrar a los guías de curso e inspectores de cada uno.
El documento describe un proyecto para implementar las tecnologías de la información y la comunicación (TIC) en una institución educativa con recursos limitados. El proyecto se llevaría a cabo en dos fases, comenzando con la creación de una página web, adecuación de tres aulas y capacitación de profesores. En la segunda fase se implementarían los TIC, se diseñarían cursos didácticos y objetivos de aprendizaje. El proyecto enfrenta desafíos como la falta de conocimiento técnico y recurs
Business of Inbound tour operators at a glanceDoanh Tưng Tửng
This document provides an overview of the structure of the international travel industry. It defines key terms like inbound/outbound operators and discusses the different types of travel operations including travel agencies, tour operators, ground operators, and local service providers. The main types of operations are described in terms of their target markets, the products and services they offer, and their typical distribution channels. Understanding the structure of the industry and roles of different players is important for tour operators to make strategic business decisions.
1) El documento discute el origen de las moléculas orgánicas a partir de moléculas inorgánicas y cómo experimentos como el de Miller y Urey apoyaron esta idea. 2) Explica que Oparin propuso que las moléculas orgánicas se polimerizaron en mares formando un "mar de sopa orgánica", aunque esta idea ya no es aceptada. 3) Señala que es más probable que la polimerización ocurriera en arcilla, donde experimentos han demostrado la formación de polímeros orgánicos.
Customer Relationship Management. If you are a startup or business looking to buy a CRM software for your business this slide share will help you out immensely. 1Click team has spent time analyzing customers and CRM softwares to come up with this. SalesForce, Zoho, Microsoft... no matter which CRM you are evaluating for your business this you will find this immensely useful in decision making.
1Click live video chat, the best video chat solution for businesses and startups. 1click lets you have live conversations with visitors on your website. Our chat widget allows you to start video conversations with your customers or clients within seconds. No add-on, no plugin, no extension, your customers are truly one click away from having an audio or video conversation with you. 1Click live video chat allows multipoint face-to-face chat without any software installations, and perform cross-platform video conferencing; so that you need not worry what OS the visitor is using. Your customer can connect with your customer service representatives from anywhere, any device. Our live chat widget enables video, audio, and text on any website or mobile app. Further, our Wordpress live chat plugin, Shopify live chat plugin, Joomla live chat plugin, Drupal live chat plugin, blog live chat plugin and other similar live chat plugin will enables video and audio calling abilities on any website. Providing a live video customer support has never been easier before. Our customer support tool let's you make your customer go WOW.
With our SalesForce live chat plugin, Zoho live chat plugin, Jira live chat plugin, SugarCRM live chat plugin, and other similar live chat extensions you can start off every chat knowing whether there are any outstanding tickets, cases, or notes related to the customer. Similarly, you can create cases, notes or tickets for the customer anytime during the conversation. All the data on your 1Click live chat dashboard can be integrated with Salesforce, Zoho, Jira, SugarCRM or any other customer relationship management software you are using.
We know very that customer engagement is a team activity. 1Click live video chat widget lets you seamlessly chat with or transfer conversations to other agents. Our live chat widget comes with website statistics, and chat analytics available at your fingertips all the time. We take security very seriously. Enjoy secure encrypted chats on your SSL (https) web pages. All the video chats, audio chats, and text chats are 128 bit AES encrypted. We are developer friendly. Extend and customize the behavior of the widget. Be unique, and get creative with our Javascript APIs. Powered, and constantly upgraded with the latest web technologies such as webRTC we enable real-time communication over web (read browser). webRTC live chat, we believe will be the future of communication. 1Click live chat software will help you increase customer sastisfaction and multiply online sales.
http://1click.io
Arcomem training – Enrichment Advanced (update)arcomem
This presentation on data enrichment is part of the ARCOMEM training curriculum. Feel free to roam around or contact us on Twitter via @arcomem to learn more about ARCOMEM training on archiving Social Media.
Generating domain specific sentiment lexicons using the Web Directory acijjournal
In this paper we aim at proposing a method to automatically build a sentiment lexicon which is domain based. There has been a demand for the construction of generated and labeled sentiment lexicon. For data on the social web (E.g., tweets), methods which make use of the synonymy relation don't work well, as we completely ignore the significance of terms belonging to specific domains. Here we propose to
generate a sentiment lexicon for any domain specified, using a twofold method. First we build sentiment scores using the micro-blogging data, and then we use these scores on the ontological structure provided by Open Directory Project [1], to build a custom sentiment lexicon for analyzing domain specific microblogging data.
This presentation on data enrichment is part of the ARCOMEM training curriculum. Feel free to roam around or contact us on Twitter via @arcomem to learn more about ARCOMEM training on archiving Social Media.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
FLOWER VOICE: VIRTUAL ASSISTANT FOR OPEN DATAIJwest
Open Data is now collecting attention for innovative service creation, mainly in the area of
government, bioscience, and smart X project. However, to promote its application more for consumer
services, a search engine for Open Data to know what kind of data are there would be of help. This paper
presents a voice assistant which uses Open Data as its knowledge source. It is featured by improvement of
accuracy according to the user feedbacks, and acquisition of unregistered data by the user participation.
We also show an application to support for a field-work and confirm its effectiveness.
Adaptive named entity recognition for social network analysis and domain onto...Cuong Tran Van
This document describes a system that uses adaptive named entity recognition and link analysis to uncover relationships between entities from web documents. The system uses ESpotter, an adaptive named entity recognition tool, to extract entities like people's names from documents on a domain. It then applies a link analysis algorithm to the entity data to find other entities closely related to each extracted entity. User feedback on the results is collected and can be used to update an existing domain ontology by suggesting new relationships and entities not currently represented. The system was tested on documents from the Knowledge Media Institute domain.
Cluster Based Web Search Using Support Vector MachineCSCJournals
Now days, searches for the web pages of a person with a given name constitute a notable fraction of queries to Web search engines. This method exploits a variety of semantic information extracted from web pages. The rapid growth of the Internet has made the Web a popular place for collecting information. Today, Internet user access billions of web pages online using search engines. Information in the Web comes from many sources, including websites of companies, organizations, communications and personal homepages, etc. Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search results into groups (clusters), one for each meaning of the query. These groups are usually constructed according to the topical similarity of the retrieved documents, but it is possible for documents to be totally dissimilar and still correspond to the same meaning of the query. To overcome this problem, the relevant Web pages are often located close to each other in the Web graph of hyperlinks. It presents a graphical approach for entity resolution & complements the traditional methodology with the analysis of the entity-relationship (ER) graph constructed for the dataset being analyzed. It also demonstrates a technique that measures the degree of interconnectedness between various pairs of nodes in the graph. It can significantly improve the quality of entity resolution. Using Support vector machines (SVMs) which are a set of related Supervised learning methods used for classification of load of user queries to the sever machine to different client machines so that system will be stable. clusters web pages based on their capacities stores whole database on server machine. Keywords: SVM, cluster; ER.
Clustering of Deep WebPages: A Comparative Studyijcsit
The internethas massive amount of information. This information is stored in the form of zillions of
webpages. The information that can be retrieved by search engines is huge, and this information constitutes
the ‘surface web’.But the remaining information, which is not indexed by search engines – the ‘deep web’,
is much bigger in size than the ‘surface web’, and remains unexploited yet.
Several machine learning techniques have been commonly employed to access deep web content. Under
machine learning, topic models provide a simple way to analyze large volumes of unlabeled text. A ‘topic’is
a cluster of words that frequently occur together and topic models can connect words with similar
meanings and distinguish between words with multiple meanings. In this paper, we cluster deep web
databases employing several methods, and then perform a comparative study. In the first method, we apply
Latent Semantic Analysis (LSA) over the dataset. In the second method, we use a generative probabilistic
model called Latent Dirichlet Allocation(LDA) for modeling content representative of deep web
databases.Both these techniques are implemented after preprocessing the set of web pages to extract page
contents and form contents.Further, we propose another version of Latent Dirichlet Allocation (LDA) to the
dataset. Experimental results show that the proposed method outperforms the existing clustering methods.
This document describes a cyberbullying detection model that uses machine learning techniques to overcome limitations of existing methods. It analyzes a Twitter dataset containing annotated tweets using natural language processing and classifiers like SVM, random forest, and KNN. The models achieved up to 95% accuracy in detecting cyberbullying posts. The authors propose expanding the model to use unsupervised learning, integrate with social media APIs to detect bullying in real-time, and develop image recognition to identify bullying across multiple media platforms.
Entity Linking Combining Open Source Annotatorspruiz_
Poster for 2015 NAACL Demo: Ruiz, Pablo, Thierry Poibeau, and Frédérique Mélanie (2015). ELCO3 : Entity Linking with Corpus Coherence Combining Open Source Annotators. In Proceedings of the Demonstrations at NAACL 2015. Denver, U.S
Information Extraction from Text, presented @ DeloitteDeep Kayal
This document discusses information extraction from text. It begins by providing background on the growth of data and need to extract meaningful information. It then discusses several key aspects of information extraction from text, including named entity recognition, entity linking, and relationship extraction. For each topic, it provides high-level explanations and recommendations, such as using CRFs as a strong baseline and leveraging pre-trained language models for state-of-the-art performance. The document emphasizes starting simple and scaling approaches through techniques like ensembling and two-stage processing.
Achieving Privacy in Publishing Search logsIOSR Journals
The document discusses algorithms for publishing search logs while preserving user privacy. It analyzes a search log using an algorithm that produces three types of outputs: query counts, a query-action graph showing query-result click counts, and a query-reformulation graph showing query suggestions clicked. The algorithm adds noise to query counts before publishing to achieve differential privacy. It aims to provide useful aggregated information for applications like search improvement while preventing re-identification of individual user data in the search log.
Prediction of Reaction towards Textual Posts in Social NetworksMohamed El-Geish
Posting on social networks could be a gratifying or a terrifying experience depending on the reaction the post and its author —by association— receive from the readers. To better understand what makes a post popular, this project inquires into the factors that determine the number of likes, comments, and shares a textual post gets on LinkedIn; and finds a predictor function that can estimate those quantitative social gestures.
IRJET - Suicidal Text Detection using Machine LearningIRJET Journal
This document presents research on detecting suicidal text using machine learning techniques. The researchers collected Twitter posts and used data preprocessing, word embeddings and a Convolutional Neural Network model to classify tweets as suicidal or non-suicidal. They found that the CNN model achieved the best performance compared to other classifiers. The system could help identify at-risk individuals by analyzing their social media posts and inform organizations to provide support. Future work involves using location data from tweets to better target help to those in need.
IRJET-Classifying Mined Online Discussion Data for Reflective Thinking based ...IRJET Journal
This document presents a methodology for classifying mined online discussion data to identify reflective thinking based on ontology. It involves the following steps:
1. Collecting online discussion data and preprocessing it by removing stop words and punctuation.
2. Implementing inductive content analysis to categorize the data into six types of reflective thinking.
3. Training a Naive Bayes classifier on the categorized data to classify new data.
4. Applying the trained model to large scale unlabeled online discussion data.
5. Using ontology to provide a deeper classification of topics in the data beyond the six reflective thinking categories. This allows extraction of additional knowledge from the classified text data.
This document proposes a model for representing trust and reputation in social internetworking systems. It discusses representing users, resources, and their interactions as a heterogeneous hypergraph rather than a traditional social network graph. It also presents algorithms for computing trust and reputation through a mutual reinforcement principle between user reputation and resource quality ratings. Future work is outlined to test these approaches on real social networking data and domains.
AELA is an adaptive entity linking approach consisting of five modules that allows entity linking to be performed across different linked data datasets with varying schemas. The first module selects a suitable linked data dataset based on domain and quality. The second module adapts to the dataset schema by identifying entity classes and name properties. The third module generates a gazetteer from the dataset. The fourth module recognizes entity mentions in text. The fifth module disambiguates entities by linking mentions to candidates using a graph-based method. Evaluation shows the system achieves high precision, recall and F-score on music and movie datasets.
Data Publishing Workflows with DataverseMicah Altman
By: Mercè Crosas, Director of Data Science at the Institute for Quantitative Social Science (IQSS) at Harvard University
The Dataverse software provides multiple workflows for data publishing to support a wide range of data policies and practices established by journals, as well as data sharing needs from various research communities. This talk will describe these workflows from the user experience and from the system's technical implementation.
This talk was presented as part of the Information Science Brown Bag talks, hosted by the Program on Information Science. (See http://drmaltman.wordpress.com)
This document describes a system that extracts events from multiple data sources like text, images and videos. It constructs "event cubes" to organize the extracted information by dimensions like location and participants. The system allows users to search for events matching query criteria and recommends related events based on their attributes. It summarizes events and extracts visual concepts and patterns to provide richer event profiles to users.
Similar to Searching for Interestingness in Wikipedia and Yahoo! Answers (20)
Como a cultura maker vai mudar o modo de produção globalGabriela Agustini
O documento discute como a cultura maker está mudando o modo de produção global através da democratização das ferramentas de inovação e fabricação digital. A cultura maker estimula a experimentação e a produção customizada em pequena escala através de comunidades e redes de pessoas. Estudos indicam que o movimento maker está impulsionando novos micro e pequenos negócios focados em nichos específicos.
Cidadãos como protagonistas das transformações sociaisGabriela Agustini
O documento descreve como as tecnologias digitais transformaram a sociedade nos últimos 20 anos através da descentralização do conhecimento e da cultura colaborativa na internet. É destacado o papel da Wikipedia como exemplo de como a internet permitiu que o conhecimento seja construído e compartilhado coletivamente de forma descentralizada.
O documento discute a cultura maker e inovações como impressão 3D, destacando como essas tecnologias permitem a criação decentralizada de produtos. Também aborda tendências como a Internet das Coisas, que conecta objetos à internet, e a prototipagem rápida, que reduz custos de inovação. A cultura maker valoriza a compreensão de como as tecnologias funcionam e a colaboração em sua criação.
O documento discute o movimento maker e seu papel a favor da educação. Defende que o movimento estimula a criatividade, a resolução de problemas e a aprendizagem baseada em projetos através da experimentação, colaboração e o uso de novas tecnologias como robótica e impressão 3D. Além disso, o movimento ajuda a democratizar as ferramentas de inovação.
O documento discute estratégias digitais para engajar o público em organizações culturais, mencionando o uso de ibeacons no Brooklyn Museum para fornecer experiências aos visitantes e a conversa com obras de arte na Pinacoteca de São Paulo usando a IBM Watson. Também recomenda colocar o público no centro do processo e usar mapas de empatia para identificar melhor os públicos-alvo.
The document discusses how cultural institutions need to change their mentality to remain relevant to citizens in the digital age. It argues that institutions must rethink how they work with new technologies and urban growth, use culture to drive social innovation, change how buildings are used and create spaces for public dialogue, and rethink their formats. This will allow culture and the arts to better serve as an engine for social change.
Crowdsourcing na arte permite que públicos anteriormente passivos se tornem criadores ativos, empoderando pessoas fora do mundo da arte. Isso fornece milhares de horas de trabalho gratuito ou barato para artistas, permitindo projetos de grande escala que um único artista levaria uma vida para criar sozinho. Estratégias digitais devem entender como a tecnologia pode ajudar a missão da organização e integrar a estratégia digital à visão geral, se baseando no comportamento do público para estabelecer novas conexões.
1) A cultura é um processo dinâmico de transformação e reinvenção constante, não algo estático. Quanto maior o grau de compartilhamento cultural, mais democrática e tolerante será uma sociedade.
2) A diversidade cultural é essencial para o desenvolvimento sustentável e para assegurar a livre expressão das culturas em sociedades dinâmicas.
3) A cultura digital representa a nova era de uma cultura de rede, onde a diversidade cultural é seu fundamento.
Social Entrepreneurship - International School of Law and TechnologyGabriela Agustini
This class is part of the International School of Law and Technology, organized by ITS Rio on July 2017. Gabriela Agustini, executive director of Olabi, and Luiza Mesquita, head of innovation at ITS Rio.
A tecnologia pode salvar a gente? | A gente pode salvar a tecnologia?Gabriela Agustini
O documento discute como a tecnologia pode ser usada para o bem da humanidade, mencionando que a conectividade já alcançou metade da população e deve ser estendida a todos. Também ressalta que é preciso aprender com modelos adotados na África e em Shenzhen e ouvir mais as pessoas nas margens da sociedade.
This report was assembled by the co-organizers of the Makers for Global Good Summit, Stephanie Santoso, Kate Gage and Sam Bloch, with help from summit participants. The summit was made possible through the generous support of the Gordon and Betty Moore Foundation, Engineering for Change and in collaboration with The Tech Museum of Innovation. For more information on Makers for Global Good, visit makersforglobalgood.com.
Apresentação olabi institucional interna - abril 17Gabriela Agustini
Este documento apresenta a missão, visão, valores e objetivos da organização Olabi, que tem como objetivo democratizar a produção de tecnologia para promover mais igualdade social. O Olabi oferece ferramentas, um espaço físico para experimentação e um sistema para empoderar cidadãos no uso de tecnologias. Suas linhas de trabalho incluem educação para o século 21, resolver problemas urbanos e empoderamento feminino.
O documento discute a utilização criativa de acervos de museus e a gestão da propriedade intelectual. Ele lista exemplos de makerspaces, fabricação digital, computação imersiva e projetos de remix de acervos que promovem o conhecimento compartilhado. Também destaca o papel educacional dos museus e seu potencial para sensibilizar o público sobre o valor do patrimônio cultural e a importância de sua preservação.
A pretalab é uma plataforma do Olabi para estimular que mais meninas e mulheres negras e indígenas tenham acesso ao universo das inovações e da tecnologia.
A aula 2 de Cultura Digital discute como a internet e as tecnologias digitais transformaram a sociedade e a cultura, criando novas formas de comunicação, compartilhamento de informações e produção e consumo de conteúdo.
A cultura digital está mudando a forma como nos comunicamos e interagimos. As redes sociais e a internet transformaram nossas vidas, permitindo novas formas de compartilhar informações e criar conteúdo online. É importante entender esses novos hábitos e como eles afetam nossa sociedade.
Inovação de baixo para cima e o poder dos cidadãos Gabriela Agustini
O documento discute como makerspaces e fablabs estão permitindo que inovações surjam de baixo para cima, dando poder aos cidadãos comuns para ajudar a resolver problemas locais usando novas tecnologias e ferramentas de fabricação digital. A autora reflete sobre como essas comunidades de "makers" podem ajudar a construir um mundo melhor aproveitando todo o potencial criativo das pessoas.
Este documento descreve o Olabi Makerspace, um espaço de criação, aprendizagem e inovação em Rio de Janeiro. O Olabi oferece ferramentas, máquinas e cursos para hobbystas, empreendedores, aprendizes e comunidade em geral desde 2014. O documento destaca a importância dos princípios de empoderamento, criação de comunidade e aprendizagem prática nos makerspaces e fornece links para artigos sobre o uso de makerspaces na educação.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Things to Consider When Choosing a Website Developer for your Website | FODUU
Searching for Interestingness in Wikipedia and Yahoo! Answers
1. Searching for Interestingness
in Wikipedia and Yahoo! Answers
Yelena Mejova1 Ilaria Bordino2 Mounia Lalmas3 Aristides Gionis4
{1,2,3} 4
Yahoo! Research Barcelona, Spain Aalto University, Finland
{1 ymejova, 2 bordino, 3 mounia}@yahoo-inc.com 4
aristides.gionis@aalto.fi
ABSTRACT 2. ENTITY NETWORKS
In many cases, when browsing the Web, users are searching We extract entity networks from (i) a dump of the En-
for specific information. Sometimes, though, users are also glish Wikipedia from December 2011 consisting of 3 795 865
looking for something interesting, surprising, or entertain- articles, and (ii) a sample of the English Yahoo! Answers
ing. Serendipitous search puts interestingness on par with dataset from 2010/2011, containing 67 336 144 questions and
relevance. We investigate how interesting are the results one 261 770 047 answers. We use state-of-the-art methods [3, 5]
can obtain via serendipitous search, and what makes them to extract entities from the documents in each dataset.
so, by comparing entity networks extracted from two promi- Next we draw an arc between any two entities e1 and e2
nent social media sites, Wikipedia and Yahoo! Answers. that co-occur in one or more documents. We assign the arc
a weight w1 (e1 , e2 ) = DF(e1 , e2 ) equal to the number of such
Categories and Subject Descriptors documents (the document frequency (DF) of the entity pair).
H.4 [Information Systems Applications]: Miscellaneous This weighting scheme tends to favor popular entities. To
mitigate this effect, we measure the rarity of any entity e
Keywords in a dataset by computing its inverse document frequency
Serendipity, Exploratory search IDF(e) = log(N )−log(DF(e)), where N is the size of the col-
lection, and DF(e) is the document frequency of entity e. We
1. INTRODUCTION set a threshold on IDF to drop the arcs that involve the most
Serendipitous search occurs when a user with no a priori popular entities. We also rescale the arc weights according
or totally unrelated intentions interacts with a system and to the alternative scheme w2 (e1 → e2 ) = DF(e1 , e2 )·IDF(e2 ).
acquires useful information [4]. A system supporting such We use Personalized PageRank (PPR) [1] to extract the
exploratory capabilities must provide results that are rele- top n entities related to a query entity. We consider two
vant to the user’s current interest, and yet interesting, to scoring methods. When using the w2 weighting scheme, we
encourage the user to continue the exploration. simply use the PPR scores (we dub this method IDF). When
In this work, we describe an entity-driven exploratory and using the simpler scheme w1 , we normalize the PPR scores
serendipitous search system, based on enriched entity net- by the global PageRank scores (with no personalization) to
works that are explored through random-walk computations penalize popular entities. We dub this method PN.
to retrieve search results for a given query entity. We extract We enrich our entity networks with metadata regard-
entity networks from two datasets, Wikipedia, a curated, ing sentiment and quality of the documents. Using Sen-
collaborative online encyclopedia, and Yahoo! Answers, a tiStrength1 , we extract sentiment scores for each document.
more unconstrained question/answering forum, where the We calculate attitude and sentimentality metrics [2] to mea-
freedom of conversation may present advantages such as sure polarity and strength of the sentiment. Regarding qual-
opinions, rumors, and social interest and approval. ity, for Yahoo! Answers documents we count the number of
We compare the networks extracted from the two media points assigned by the system to the users, as indication of
by performing user studies in which we juxtapose interest- expertise and thus good quality. For Wikipedia, we count
ingness of the results retrieved for a query entity, with rel- the number of dispute messages inserted by editors to require
evance. We investigate whether interestingness depends on revisions, as indication of bad quality. We derive sentiment
(i) the curated/uncurated nature of the dataset, and/or on and quality scores for any entity by averaging over all the
(ii) additional characteristics of the results, such as senti- documents in which the entity appears. We use Wikimedia2
ment, content quality, and popularity. statistics to estimate the popularity of entities.
3. EXPLORATORY SEARCH
We test our system using a set of 37 queries originat-
Permission to make digital or hard copies of all or part of this work for ing from 2010 and 2011 Google Zeitgeist (www.google.com/
personal or classroom use is granted without fee provided that copies are zeitgeist) and having sufficient coverage in both datasets.
not made or distributed for profit or commercial advantage and that copies Using one of the two algorithms – PN or IDF – we retrieve
bear this notice and the full citation on the first page. To copy otherwise, to
the top five entities from each dataset – YA or WP – for each
republish, to post on servers or to redistribute to lists, requires prior specific
permission and/or a fee. 1
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2. Figure 1: Performance: (a) and (b) scale range from 1 to 4, (c) correlation range from 0 to 1
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int. to query int. to user relevant diverse frustrating interesting learn new int. to query int. to user relevant
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ya r ya pn ya idf wp r wp pn wp idf ya r ya pn ya idf wp r wp pn wp idf ya pn ya idf wp pn wp idf
(a) Average query/result pair labels (b) Average query set labels (c) Corr. with learn smth new
query. For comparison, we consider setups consisting of 5 query (0.214), and quality of the result entity (0.201). These
random entities. Note that unlike for conventional retrieval, features point to important aspects of a retrieval strategy
a random baseline is feasible for a browsing task. which would lead to a successful serendipitous search.
We recruit four editors to annotate the retrieved results, Table 1: Retrieval result examples
asking them to evaluate each result entity for relevance, in- YA query: Kim Kardashian Attitude Sentiment. Quality Pageviews
terestingness to the query, and interestingness regardless of Perry Williams 0 0 0 85
Eva Longoria Parker −0.602 2.018 6 1 450 814
the query, with responses falling on scale from 1 to 4 (Fig-
WP query: H1N1 pandemic Attitude Sentiment. Quality Pageviews
ure 1(a)). Both of our retrieval methods outperform the Phaungbyin 2 2 1 706
random baseline (at p < 0.01). The gain in interestingness 2009 US flu pandemic 1 1 1 21 981
to the user despite the query suggests that randomly viewed
information is not intrinsically interesting to the user. 4. DISCUSSION & CONCLUSION
Whereas performance improves from PN to IDF for YA, Beyond the aggregate measures of the previous section,
the interestingness to the user is hurt significantly (at p < the peculiarities of Yahoo! Answers and Wikipedia as so-
0.01) for WP (the other measures remain statistically the cial media present unique advantages and challenges for
same). Note that PN uses the weighting scheme w1 , while serendipitous search. For example, Table 1 shows poten-
IDF operates on the networks sparsified and weighted ac- tial search YA results for an American socialite Kim Kar-
cording to function w2 . The frequency-based approach ap- dashian: an actress Eva Longoria Parker (whose Wikipedia
plied by IDF mediates the mentioning of popular entities in page has over a million visits in two years), and a footballer
a non-curated dataset like YA, but it fails to capture the im- Perry Williams (who played his last game in 1993). Note
portance of entities in a domain with restricted authorship. the difference in attitude and sentimentality. Yahoo! An-
Next we ask the editors to look at the five results as a swers provides a wider spread of emotion. This data may be
whole, measuring diversity, frustration, interestingness, and of use when searching for potentially serendipitous entities.
the ability of the user to learn something new about the Table 1 also shows potential WP results for the query
query. Figure 1(b) shows that the two random runs are H1N1 Pandemic: a town in Burma called Phaungbyin, and
highly diverse but provoke the most frustration. The most 2009 flu pandemic in the United States. We may expect
diverse and the least frustrating result sets are provided by pandemic to be associated with negative sentiment, but the
the YA IDF run. The WP PN run also shows high diversity, documents in Wikipedia do not display it.
but it falls with the IDF constraint. The YA IDF run gives It is our intuition that the two datasets provide a comple-
better diversity and interesting scores at p < 0.01 than the mentary view of the entities and their relations, and that a
WP IDF run, while performing statistically the same. hybrid system exploiting both resources would provide the
To examine the relationship with the serendipity level of best user experience. We leave this for future work.
the content, we compute correlation between the learn some-
thing new label (LSN) and the others. Figure 1(c) shows 5. ACKNOWLEDGEMENTS
the LSN label to be the least correlated with interests of the This work was partially funded by the European Union
user in the WP IDF run, and the most for the YA IDF run. Linguistically Motivated Semantic Aggregation Engines
Especially in the WP IDF run, the relevance is highly asso- (LiMoSINe) project3 .
ciated with the LSN label. We are witnessing two different References
searching experiences: in the YA IDF setup the results are
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evance (0.234), as well as interestingness of the result to the 3
www.limosine-project.eu
user (0.227), followed by contextual similarity of result and