Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem. Uprising microblogs: A Bayesian network retrieval model for tweet search (regular paper). Dans : ACM Symposium on Applied Computing (SAC 2012), Riva del Garda (Trento), Italy, 26/03/12-30/03/12, mars 2012 http://dx.doi.org/10.1145/2245276.2245459
We investigate in this paper the problem of accessing to real-time information and we propose a Bayesian network
retrieval model for tweet search. The proposed model interprets tweet relevance as a conditional probability and
estimates it using different sources of evidence. In particular, we introduce a social search model that considers, in
addition to text similarity measures, the microblogger’s influence, the time magnitude and the presence of hashtags.
To evaluate our model, we conducted a series of experiments on the TREC Tweets2011 corpus. Experiments with “Arab
Spring” topic set show that both of social and temporal features improve tweet search for different types of queries.
Final results show also that our model outperforms other traditional information retrieval baselines.
Intégration des facteurs temps et autorité sociale dans un modèle bayésien de...Lamjed Ben Jabeur
Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem.
Intégration des facteurs temps et autorité sociale dans un modèle bayésien de recherche de tweets.
Dans : Conférence francophone en Recherche d'Information et Applications (CORIA 2012), Bordeaux, 21/03/12-23/03/12, LABRI, p. 301-316, 2012 ftp://ftp.irit.fr/IRIT/SIG/BenJabeur_CORIA2012.pdf
Cet article présente une approche sociale pour la recherche d’information dans les
microblogs intégrant diverses sources d’évidence au sein d’un réseau bayésien. Notre contribution
consiste à étendre la notion classique de pertinence, basée sur la similarité textuelle, par
de nouveaux facteurs tels que l’importance sociale des blogueurs et la magnitude temporelle
des microblogs. Dans ce papier, l’importance sociale d’un blogueur est assimilée à son influence
dans le réseau et est évaluée par un score de PageRank déduit sur le réseau de diffusion
des microblogs. Nous proposons d’estimer la magnitude temporelle selon le nombre de voisins
temporels qui incluent les termes de la requête. Afin de valider notre approche, une évaluation
expérimentale à été menée sur la collection de microblogs de référence TREC Tweets2011. Les
résultats montrent que notre modèle présente un gain de 24% par rapport à la médiane des
résultats officiels de TREC Microblog 2011.
Un modèle de Recherche d'Information Sociale pour l'Accès aux Ressources Bib...Lamjed Ben Jabeur
Cet article propose une nouvelle approche, basée sur les réseaux sociaux, pour l'accès aux ressources bibliographiques. Nous introduisons un modèle d'information sociale dont les auteurs sont les principales entités et les relations sont extraites à partir des liens de coauteur et de citation. En effet, ces relations sont pondérées en tenant compte des interactions entre les auteurs et des annotations sociales produites par les utilisateurs. Dans ce modèle, la pertinence d'un document est estimée par combinaison de la pertinence thématique et de la pertinence sociale, qui est à son tour dérivée de l'importance sociale des auteurs associés. Nous évaluons la viabilité de notre modèle sur une collection d'articles scientifiques dont les annotation sociales sont extraites depuis le réseau social académique CiteULike.org. Les résultats obtenus montrent la supériorité des performances de notre modèle par rapport à la recherche d'information traditionnelle.
Diachronic Analysis of the Italian Language exploiting Google NgramPierpaolo Basile
In this paper, we propose several methods for the diachronic analysis of the Italian language.
We build several models by exploiting Temporal Random Indexing and the Google Ngram dataset for the Italian language.
Each proposed method is evaluated on the ability to automatically identify meaning shift over time.
To this end, we introduce a new dataset built by looking at the etymological information reported in some dictionaries.
MICROBLOGGING CONTENT PROPAGATION MODELING USING TOPIC-SPECIFIC BEHAVIORAL FA...Nexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Intégration des facteurs temps et autorité sociale dans un modèle bayésien de...Lamjed Ben Jabeur
Lamjed Ben Jabeur, Lynda Tamine, Mohand Boughanem.
Intégration des facteurs temps et autorité sociale dans un modèle bayésien de recherche de tweets.
Dans : Conférence francophone en Recherche d'Information et Applications (CORIA 2012), Bordeaux, 21/03/12-23/03/12, LABRI, p. 301-316, 2012 ftp://ftp.irit.fr/IRIT/SIG/BenJabeur_CORIA2012.pdf
Cet article présente une approche sociale pour la recherche d’information dans les
microblogs intégrant diverses sources d’évidence au sein d’un réseau bayésien. Notre contribution
consiste à étendre la notion classique de pertinence, basée sur la similarité textuelle, par
de nouveaux facteurs tels que l’importance sociale des blogueurs et la magnitude temporelle
des microblogs. Dans ce papier, l’importance sociale d’un blogueur est assimilée à son influence
dans le réseau et est évaluée par un score de PageRank déduit sur le réseau de diffusion
des microblogs. Nous proposons d’estimer la magnitude temporelle selon le nombre de voisins
temporels qui incluent les termes de la requête. Afin de valider notre approche, une évaluation
expérimentale à été menée sur la collection de microblogs de référence TREC Tweets2011. Les
résultats montrent que notre modèle présente un gain de 24% par rapport à la médiane des
résultats officiels de TREC Microblog 2011.
Un modèle de Recherche d'Information Sociale pour l'Accès aux Ressources Bib...Lamjed Ben Jabeur
Cet article propose une nouvelle approche, basée sur les réseaux sociaux, pour l'accès aux ressources bibliographiques. Nous introduisons un modèle d'information sociale dont les auteurs sont les principales entités et les relations sont extraites à partir des liens de coauteur et de citation. En effet, ces relations sont pondérées en tenant compte des interactions entre les auteurs et des annotations sociales produites par les utilisateurs. Dans ce modèle, la pertinence d'un document est estimée par combinaison de la pertinence thématique et de la pertinence sociale, qui est à son tour dérivée de l'importance sociale des auteurs associés. Nous évaluons la viabilité de notre modèle sur une collection d'articles scientifiques dont les annotation sociales sont extraites depuis le réseau social académique CiteULike.org. Les résultats obtenus montrent la supériorité des performances de notre modèle par rapport à la recherche d'information traditionnelle.
Diachronic Analysis of the Italian Language exploiting Google NgramPierpaolo Basile
In this paper, we propose several methods for the diachronic analysis of the Italian language.
We build several models by exploiting Temporal Random Indexing and the Google Ngram dataset for the Italian language.
Each proposed method is evaluated on the ability to automatically identify meaning shift over time.
To this end, we introduce a new dataset built by looking at the etymological information reported in some dictionaries.
MICROBLOGGING CONTENT PROPAGATION MODELING USING TOPIC-SPECIFIC BEHAVIORAL FA...Nexgen Technology
TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS
MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com
NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Link...Pierpaolo Basile
This presentation describes the participation of the UNIBA team
in the Named Entity rEcognition and Linking (NEEL) Chal-
lenge. We propose a knowledge-based algorithm able to
recognize and link named entities in English tweets. The
approach combines the simple Lesk algorithm with informa-
tion coming from both a distributional semantic model and
usage frequency of Wikipedia concepts. The algorithm per-
forms poorly in the entity recognition, while it achieves good
results in the disambiguation step.
Slides about combining semantic web technology with microblogging. Describes motivation, concepts, and experimental implementations. Includes a (very) short intro to semantic web principles.
Most web search engine users are increasingly expecting direct and contextually relevant answers to their information needs rather than mere links to documents. In order to arrive at such answers we need to tackle several issues, including (but not limited to) entity linking, entity retrieval, entity reconciliation, intent classification, and personalization, all without losing sight of efficiency. In this talk I will give some background on how such an end-to-end pipeline for semantic search is being implemented and improved at Yahoo.
Quels facteurs de pertinence pour la recherche de produits e-commerce ?Lamjed Ben Jabeur
Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. Dans : Conférence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse, 09/03/2016-11/03/2016, Association Francophone de Recherche d'Information et Applications (ARIA), p. 415-430, mars 2016. https://www.irit.fr/publis/SIG/2016_CORIA_SOULIER.pdf
Un moteur de recherche e-commerce vise à fournir un accès rapide et efficace à des produits qui correspondent aux besoins et aux préférences de l'utilisateur parmi une liste de produits similaires ou étroitement liés. Nous avons participé à la campagne d'évaluation « Living Lab for Information Retrieval » qui proposait une tâche de recherche de produits évaluée par des utilisateurs réels lors de scénarios de recherche réelle sur un site de e-commerce. L’évaluation expérimentale a montré des résultats prometteurs de notre modèle. Dans ce papier, nous proposons une analyse des fichiers logs issus de notre modèle afin d'identifier des facteurs d’efficacité liés à la requête et aux produits. L'objectif de cette étude est d'ouvrir des pistes de recherche pour la formalisation de modèles de recherche de produits.
E-commerce product retrieval aims to provide a quick and efficient access to products that fit user’s needs and preferences among a tail of similar or closely related products. We participated to the ``Living Lab for Information Retrieval'' evaluation campaign devoted to a product search task in which real users evaluated participants' retrieval models in real search scenarios on e-commerce websites. The experimental evaluation has shown encouraging results for our proposed model. In this paper, we conduct an analysis of users' feeadback with respect to the clicks obtained by our model. The goal of the paper is therefore to identify the effectiveness factors underlying the user's queries and the retrieved products in order to open perspectives in the formalization of product search models.
Op 7 maart was het Cross Media Cafe - Uit het Lab. Aan welke projecten en innovaties wordt gewerkt in de medialabs? Zowel bij kennisinstellingen als bij bedrijven? Wat komt er op ons af dat onze manier van media consumeren, gebruiken en produceren revolutionair gaat veranderen? Waar werken de “mad scientists” aan? Waar maken de uitvinders zich druk over? En hoe snel vindt het zijn weg naar de markt?
Daarnaast vieren iMMovator en Beeld en Geluid hun nieuwe samenwerking en het daarbij horende nieuwe logo.
Accès à l’information dans les réseaux sociaux : quelles formes de collaborat...Lamjed Ben Jabeur
Nous présentons dans cet article une analyse exploratoire dans l’objectif d’identifier les patrons de collaboration au sein des réseaux sociaux pour l’accès à l’information. Nous nous focalisons sur le cas de la gestion de crise au travers de la plateforme sociale Twitter. Nous nous appuyons ainsi sur deux types de crises : une catastrophe naturelle (l’ouragan Sandy) et une crise sanitaire (Ebola). Nous proposons une méthodologie en trois étapes qui permet 1) d’analyser les structures de collaboration, 2) d’identifier les thématiques de collaboration et 3) de présenter les réseaux latents de collaboration sur l’ensemble du réseau. Les résultats montrent paradoxalement que le périmètre de la collaboration est réduit, que les sujets sousjacents sont diversifiés et impliquent des utilisateurs qui peuvent être à l’interface de différents sujets.
IRIT at clef 2015: A product search model for head queriesLamjed Ben Jabeur
We describe in this paper our participation in the product search task of LL4IR CLEF 2015 Lab. This task aims to evaluate, with living labs protective point of view,
the retrieval effectiveness over e-commerce search engines. During the online shopping process, users would search for interesting products and quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations, accessories, and complementary products. We propose a probabilistic model for product search based on the intuition that descriptive fields and the category might fit with the query.
Finaly, we present results obtained during the second round of the product search task.
Leveraging social relevance: Using social networks to enhance literature acce...Lamjed Ben Jabeur
Leveraging social relevance: Using social networks to enhance literature access and microblog search
(Exploitation des réseaux sociaux pour l'accès à la littérature et la recherche des microblogs)
Thesis submitted for the degree of Doctor of Philosophy
Thesis defended on October 8th, 2013
Ph.D: Lamjed Ben Jabeur
Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier
Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier
Abstract(EN)
We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following.
* A social information model for flexible literature access
We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations.
* A social model for information retrieval for microblog search
We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger's importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model.
Résumé (FR)
Nous proposons dans cette thèse d'intégrer le réseau social d'information dans le processus de recherche d'information afin d'utiliser les relations sociales entre les acteurs sociaux comme une source d'évidence pour mesurer la pertinence d'un document en réponse à une requête. Deux modèles de recherche d'information sociale ont été proposés à des cadres applicatifs différents : la recherche d'information bibliographique et la recherche d'information dans les microblogs.
A social model for Literature Access: Towards a weighted social network of au...Lamjed Ben Jabeur
This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network "CiteULike". Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.
An Exploratory Study on Using Social Information Networks for Flexible Litera...Lamjed Ben Jabeur
It is well known that the fundamental intellectual problems of information access are the production and consumption of information. In this paper, we investigate the use of social network of information producers (authors) within relations in data (co-authorship and citation) in order to improve the relevance of information access. Relevance is derived from the network by levraging the usual topical similarity between the query and the document with the target author’s authority. We explore various social network based measures for computing social information importance and show how this kind of contextual information can be incorporated within an information access model. We experiment with a collection issued from SIGIR proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms of mean reciprocal rank.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Link...Pierpaolo Basile
This presentation describes the participation of the UNIBA team
in the Named Entity rEcognition and Linking (NEEL) Chal-
lenge. We propose a knowledge-based algorithm able to
recognize and link named entities in English tweets. The
approach combines the simple Lesk algorithm with informa-
tion coming from both a distributional semantic model and
usage frequency of Wikipedia concepts. The algorithm per-
forms poorly in the entity recognition, while it achieves good
results in the disambiguation step.
Slides about combining semantic web technology with microblogging. Describes motivation, concepts, and experimental implementations. Includes a (very) short intro to semantic web principles.
Most web search engine users are increasingly expecting direct and contextually relevant answers to their information needs rather than mere links to documents. In order to arrive at such answers we need to tackle several issues, including (but not limited to) entity linking, entity retrieval, entity reconciliation, intent classification, and personalization, all without losing sight of efficiency. In this talk I will give some background on how such an end-to-end pipeline for semantic search is being implemented and improved at Yahoo.
Quels facteurs de pertinence pour la recherche de produits e-commerce ?Lamjed Ben Jabeur
Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. Dans : Conférence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse, 09/03/2016-11/03/2016, Association Francophone de Recherche d'Information et Applications (ARIA), p. 415-430, mars 2016. https://www.irit.fr/publis/SIG/2016_CORIA_SOULIER.pdf
Un moteur de recherche e-commerce vise à fournir un accès rapide et efficace à des produits qui correspondent aux besoins et aux préférences de l'utilisateur parmi une liste de produits similaires ou étroitement liés. Nous avons participé à la campagne d'évaluation « Living Lab for Information Retrieval » qui proposait une tâche de recherche de produits évaluée par des utilisateurs réels lors de scénarios de recherche réelle sur un site de e-commerce. L’évaluation expérimentale a montré des résultats prometteurs de notre modèle. Dans ce papier, nous proposons une analyse des fichiers logs issus de notre modèle afin d'identifier des facteurs d’efficacité liés à la requête et aux produits. L'objectif de cette étude est d'ouvrir des pistes de recherche pour la formalisation de modèles de recherche de produits.
E-commerce product retrieval aims to provide a quick and efficient access to products that fit user’s needs and preferences among a tail of similar or closely related products. We participated to the ``Living Lab for Information Retrieval'' evaluation campaign devoted to a product search task in which real users evaluated participants' retrieval models in real search scenarios on e-commerce websites. The experimental evaluation has shown encouraging results for our proposed model. In this paper, we conduct an analysis of users' feeadback with respect to the clicks obtained by our model. The goal of the paper is therefore to identify the effectiveness factors underlying the user's queries and the retrieved products in order to open perspectives in the formalization of product search models.
Op 7 maart was het Cross Media Cafe - Uit het Lab. Aan welke projecten en innovaties wordt gewerkt in de medialabs? Zowel bij kennisinstellingen als bij bedrijven? Wat komt er op ons af dat onze manier van media consumeren, gebruiken en produceren revolutionair gaat veranderen? Waar werken de “mad scientists” aan? Waar maken de uitvinders zich druk over? En hoe snel vindt het zijn weg naar de markt?
Daarnaast vieren iMMovator en Beeld en Geluid hun nieuwe samenwerking en het daarbij horende nieuwe logo.
Accès à l’information dans les réseaux sociaux : quelles formes de collaborat...Lamjed Ben Jabeur
Nous présentons dans cet article une analyse exploratoire dans l’objectif d’identifier les patrons de collaboration au sein des réseaux sociaux pour l’accès à l’information. Nous nous focalisons sur le cas de la gestion de crise au travers de la plateforme sociale Twitter. Nous nous appuyons ainsi sur deux types de crises : une catastrophe naturelle (l’ouragan Sandy) et une crise sanitaire (Ebola). Nous proposons une méthodologie en trois étapes qui permet 1) d’analyser les structures de collaboration, 2) d’identifier les thématiques de collaboration et 3) de présenter les réseaux latents de collaboration sur l’ensemble du réseau. Les résultats montrent paradoxalement que le périmètre de la collaboration est réduit, que les sujets sousjacents sont diversifiés et impliquent des utilisateurs qui peuvent être à l’interface de différents sujets.
IRIT at clef 2015: A product search model for head queriesLamjed Ben Jabeur
We describe in this paper our participation in the product search task of LL4IR CLEF 2015 Lab. This task aims to evaluate, with living labs protective point of view,
the retrieval effectiveness over e-commerce search engines. During the online shopping process, users would search for interesting products and quickly access those that fit with their needs among a long tail of similar or closely related products. Our contribution addresses head queries that are frequently submitted on e-commerce Web sites. Head queries usually target featured products with several variations, accessories, and complementary products. We propose a probabilistic model for product search based on the intuition that descriptive fields and the category might fit with the query.
Finaly, we present results obtained during the second round of the product search task.
Leveraging social relevance: Using social networks to enhance literature acce...Lamjed Ben Jabeur
Leveraging social relevance: Using social networks to enhance literature access and microblog search
(Exploitation des réseaux sociaux pour l'accès à la littérature et la recherche des microblogs)
Thesis submitted for the degree of Doctor of Philosophy
Thesis defended on October 8th, 2013
Ph.D: Lamjed Ben Jabeur
Supervisor: Prof. Lynda Tamine, University of Toulouse 3 Paul Sabatier
Advisor: Prof. Mohand Boughanem, University of Toulouse 3 Paul Sabatier
Abstract(EN)
We propose in this work to integrate the social information network in the retrieval process and exploit the social relations between social actors as a source of evidence to measure the relevance of a document in response to a query. Two social information retrieval models have been proposed in different application frameworks: literature access and microblog retrieval. The main contributions of each model are detailed in the following.
* A social information model for flexible literature access
We proposed a generic social information retrieval model for literature access. This model represents scientific papers within a social network and evaluates their importance according to the position of respective authors in the network. Compared to previous approaches, this model incorporates new social entities represented by annotators and social annotations (tags). In addition to co-authorships, this model includes two other types of social relationships: citation and social annotation. Finally, we propose to weight these relationships according to the position of authors in the social network and their mutual collaborations.
* A social model for information retrieval for microblog search
We proposed a microblog retrieval model that evaluates the quality of tweets in two contexts: the social context and temporal context. The quality of a tweet is estimated by the social importance of the corresponding blogger. In particular, blogger's importance is calculated by the applying PageRank algorithm on the network of social influence. With the same aim, the quality of a tweet is evaluated according to its date of publication. Tweets submitted in periods of activity of query terms are then characterized by a greater importance. Finally, we propose to integrate the social importance of blogger and the temporal magnitude tweets as well as other relevance factors using a Bayesian network model.
Résumé (FR)
Nous proposons dans cette thèse d'intégrer le réseau social d'information dans le processus de recherche d'information afin d'utiliser les relations sociales entre les acteurs sociaux comme une source d'évidence pour mesurer la pertinence d'un document en réponse à une requête. Deux modèles de recherche d'information sociale ont été proposés à des cadres applicatifs différents : la recherche d'information bibliographique et la recherche d'information dans les microblogs.
A social model for Literature Access: Towards a weighted social network of au...Lamjed Ben Jabeur
This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors positions in the social network and their mutual collaborations. Assigned weights express influence, knowledge transfer and shared interest between authors. Furthermore, we estimate document relevance by combing the document-query similarity and the document social importance derived from corresponding authors. To evaluate the effectiveness of our model, we conduct a series of experiments on a scientific document dataset that includes textual content and social data extracted from the academic social network "CiteULike". Final results show that the proposed model improves the retrieval effectiveness and outperforms traditional and social information retrieval baselines.
An Exploratory Study on Using Social Information Networks for Flexible Litera...Lamjed Ben Jabeur
It is well known that the fundamental intellectual problems of information access are the production and consumption of information. In this paper, we investigate the use of social network of information producers (authors) within relations in data (co-authorship and citation) in order to improve the relevance of information access. Relevance is derived from the network by levraging the usual topical similarity between the query and the document with the target author’s authority. We explore various social network based measures for computing social information importance and show how this kind of contextual information can be incorporated within an information access model. We experiment with a collection issued from SIGIR proceedings and show that combining topical, author and citation based evidences can significantly improve retrieval access precision, measured in terms of mean reciprocal rank.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
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Uprising microblogs: A Bayesian network retrieval model for tweet search
1. Uprising microblogs: A Bayesian network
retrieval model for tweet search
Lamjed Ben Jabeur, Lynda Tamine and Mohand Boughanem
IRIT, Université Paul Sabatier
2. A Bayesian network retrieval model for tweet search
Outline
1. Microblogging service
2. Tweet search
3. Bayesian network topology
4. Computing conditional probabilities
5. Experimental evaluation
6. Conclusion and future work
2
3. Microblogging service
Microblog?
“ Microblogging is a new form of communication [….]
that enables users to broadcast and share information
about their activities, opinions and status. [Java et
al.2007].
”
• Microblog post
– Short (140 characters)
1 billions Publications /week
– Real-time 50 millions Publications /day
– Social motivation 177 million Publications in mars 2011
– Mobile device +106 millions User accounts
3
4. Microblogging service
Tweet, retweet et hashtag ?
“
Jack Dorsey 21 Mars 06 1ier Tweet
inviting coworkers #oilspill
“
Stephen Colbert 21 Juin 2010 Golden Tweet Award 2010
In honor of oil-soaked birds, 'tweets' are now 'gurgles. http://bit.ly/cIhZNf
“
Wendy's 8 Juin 2011 Golden Tweet Award 2011
RT for a good cause. Each Retweet sends 50¢ to help kids in foster care. #TreatItFwd
“
CORIA11 16 mars 2010
CORIA 2011 : Université d'Avignon #CORIA11 http://yfrog.com/h3y
““
MohBoughanem 17 Mars 2010
@coria2011 well visualized, quickly found
MohBoughanem CORIA11 17 Mars 2010
4
@coria2011 well visualized, quickly found
6. Tweet search
Microblog IR
• Users overwhelmed by the huge quantity of tweets
– Important publication rate
– Diverse sources of information
Difficulty to accessing to interesting posts
• Microblog IR tasks
– Person search and follower suggestion
– Trend extraction
– Opinion search
– Tweet search
6
7. Tweet search
Tweet search task
“ real-time search task, where the user wishes to see the
most recent but relevant information to the query. (Ounis
et al., 2011).
”
“ adhoc search on Twitter, where a user’s information need is
”
represented by a query at a specific time. (Ounis et al., 2011).
• Search motivations
– access to concise and credible information
– access to fresh and real-time news
– follow an event
– collect opinions and public sentiments
7
8. Tweet search
Related work
1. Spatio-temporel context
TwitterStand (Sankaranarayanan J. et al, 2009) TweetSieve (Grinev M et al, 2009)
2. Microblog features
– followership, tweets, retweets, reply, hashtags, URLs
– Linear combination (Nagmoti et al., 2010)
– Learn to Rank (Duan Y et al., 2010)
8
9. Tweet search
Related work
3. Social network structure
– Indegree, Retweet et Mention influence (Cha et al.,
2010).,TweetRank, FollowerRank (Nagmoti et al., 2010).
– Authority (Kwak et al., 2010)
– Influence (Kwak et al., 2010), TwitterRank (Weng et al., 2010),
Popularity (Duan et al.,2010)
9
10. Tweet search
Contributions
topical
• Relevance features:
– Term occurrence
– social influence
– time magnitude
• Bayesian network model
temporal social
10
11. Bayesian network topology
Definitions and notations
• Query: q 0,1 q, q
• Term: ki 0,1 k , ki i
• Term configuration: k
example : k1 , k 2
k k1 , k2 ), (k1 , k2 ), (k1 , k2 ), (k1 , k2 )
(
• Tweet: t j 0,1 ti , ti
• Microblogger: uk 0,1 uk , uk
11
13. Computing conditional probabilities
Query evaluation
Query q
P(q t i ) P(q | k )P(k | t i ) P( t i | u k ) P(u k )
k
Terms k1 k2 k3
P(q t j ) P(q | k )P( t j | u k ) P(u k )
k
Tweets t1 t2 t3
P(k i | t j ) P(k i | t j )
k |on(i,k ) 1
i k i |on(i,k ) 0
Microbloggers u1 u2
13
14. Computing conditional probabilities
Query
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(q | k ) on(i, k )
i , ki q
14
15. Computing conditional probabilities
Tweet
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(k i | t j ) (1 ) F (ki , t j ) H (ki , t j ) T (ki , t j ) L(t j )
Term occurrence Tweet properties
P( k i | t j ) 1 P( k i | t j )
15
16. Computing conditional probabilities
Term frequency
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(k i | t j ) (1 ) F (ki , t j ) H (ki , t j ) T (ki , t j ) L(t j )
a
if k i t j
F ( ki , t j )
1 1
F (ki , t j ) tf ki ,t j 0,8
0
a=0,1
otherwise 0,6 a=0,25
0,4 a=0,5
0,2 a=0,75
0 a=1
0 5 tf ki ,t j10
16
17. Computing conditional probabilities
Hashtag
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(k i | t j ) (1 ) F (ki , t j ) H (ki , t j ) T (ki , t j ) L(t j )
b if # k i t j
1
H (ki , t j ) tf #ki ,t j
b otherwise
17
18. Computing conditional probabilities
Time magnitude
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(k i | t j ) (1 ) F (ki , t j ) H (ki , t j ) T (ki , t j ) L(t j )
tweets
df k i, j
T ( ki , t j ) 30
j 20
t1
10
t2
0
1 2 tems
3 4 5
j t k , t j t k t time
18
19. Computing conditional probabilities
Tweet length
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(k i | t j ) (1 ) F (ki , t j ) H (ki , t j ) T (ki , t j ) L(t j )
1
L(t j )
1 avgtl tltj
19
20. Computing conditional probabilities
Microblogger
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
1
P( t j | u k )
u k
20
21. Computing conditional probabilities
Social influence
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
P(uk ) Inf (uk )
PageRank on Retweet Social Network
1 Inf G 1 (ui )
k
Inf Gk (ui ) d (1 d ) w j ,i
U u j ,e ( u j ,ui )E O(u j )
(u j ) (u j )
w j ,i
(u j )
21
22. Computing conditional probabilities
Social influence
P(q t j ) P(q | k )P( t j | u k ) P(u k ) P(k i | t j ) P( k i | t j )
k |on(i,k )1
k i k i |on(i,k ) 0
(u j ) (ui )
wi , j
(ui )
22
31. A Bayesian network retrieval model for tweet search
Conclusion and future work
• Tweet search model
– Normalized Term frequency
– Time magnitude
– Social influence
• Integrating relevance factors within a Bayesian network
• Query profile impact features performances.
• Our model outperforms traditional IR baselines.
• Future work
– Automatically detect optimal time window
– Select appropriate feature depending on the query profile
31
32. Thank you for your attention!
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