This document discusses search interactions and design. It includes quotes from Google executives about envisioning search as a best friend that understands users' meanings and intentions. It also includes a quote about the idea of connecting search technology directly to a user's brain. The document discusses research into how people use advanced search pages and explores search as an interactive feedback loop for users.
Design research into search interactionsSean Connolly
Engineers focus on refining algorithms to improve search. This investigation takes a human-centered approach to see how human understand complexity when engaged in the act of "exploratory search" (the search behaviors users exhibit when the first search query does not return usable results).
Minneapolis Digital Marketing and SEO Strategies by Jeannie HillJeannie Hill
Minneapolis Digital Marketing & SEO:
How the Google Hummingbird algorithm changed search engine optimization and impacts business websites. The importance of natural link building, web content, keywords, and structured schema data. Marketers who use advanced conversational search help search engines match web pages to user intent.
Hill Web Marketing offers an explanation of what is happening with Google authorship, Google Knowledge graph, and how to repurpose content to increase online visibility. Finding the sweet spot of where your social graph, website's link graph and knowledge graph intersect.
Croud @ Google 26.11.13 - Changing face of SEOKris Tait
The document discusses the changing landscape of SEO from 2009 to the present. It highlights key algorithm updates like Penguin, Panda and Hummingbird and how they have impacted SEO. It also outlines focus areas for SEO practitioners going forward like structured data, content and social strategies, and preparing for advances in conversational search and voice interactions. The key takeaways are to leverage structured data and the knowledge graph, analyze organic performance holistically, focus on engaging content and social strategies, and get ready for more advanced queries and augmented reality in search.
Digital Tools for Launching New VenturesKona Company
Digital Strategy - including SEO, SEM and Social Media Marketing - to launch a new venture. Presented to Northwestern University's Kellogg School of Management. October 12, 2015
Message in a Digital Bottle: Find Your Audience in the Internet OceanAristotle, Inc.
The Internet is a big place; are you just going to throw your message out there and hope someone finds it? Marla Johnson, CEO of Aristotle, has a better way.
The document discusses the growth of digital content and online activity. It notes that more content has been created in the last two years than the previous 5,000 years, and that Google now processes over 40,000 searches per second. It also discusses the rise of social media and how many digital activities like photos shared and videos watched occur every minute on major platforms. The document then shifts to discussing content marketing and tactics like landing pages, calls to action, search engine optimization, keyword research, and link building.
The Knowledge Graph is a knowledge base used by Google to enhance its search engine's search results with semantic-search information gathered from a wide variety of sources.
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeMarianne Sweeny
The search sun shifted in March 2011 when Google started rolling out the beginning of the Panda update. Instead of using the famous PageRank, a link-based relevance calculation, Panda rests on a machine interpretation of user experience to decide which sites are most relevant to a searchers quest for knowledge. This means that IA and UX practitioners need to start thinking about the machine implications of the way they structure information on the web, and think ahead about the human implications for how search engines present their sites in response to searcher queries. Bearish SEO will present real, actionable methods for content providers, information architects and user experience designers to directly influence search engine discoverability. Need is an experience. It is a state of being. The goal for this presentation is to ensure that user experience professionals become an integral part of designing search experience.
Design research into search interactionsSean Connolly
Engineers focus on refining algorithms to improve search. This investigation takes a human-centered approach to see how human understand complexity when engaged in the act of "exploratory search" (the search behaviors users exhibit when the first search query does not return usable results).
Minneapolis Digital Marketing and SEO Strategies by Jeannie HillJeannie Hill
Minneapolis Digital Marketing & SEO:
How the Google Hummingbird algorithm changed search engine optimization and impacts business websites. The importance of natural link building, web content, keywords, and structured schema data. Marketers who use advanced conversational search help search engines match web pages to user intent.
Hill Web Marketing offers an explanation of what is happening with Google authorship, Google Knowledge graph, and how to repurpose content to increase online visibility. Finding the sweet spot of where your social graph, website's link graph and knowledge graph intersect.
Croud @ Google 26.11.13 - Changing face of SEOKris Tait
The document discusses the changing landscape of SEO from 2009 to the present. It highlights key algorithm updates like Penguin, Panda and Hummingbird and how they have impacted SEO. It also outlines focus areas for SEO practitioners going forward like structured data, content and social strategies, and preparing for advances in conversational search and voice interactions. The key takeaways are to leverage structured data and the knowledge graph, analyze organic performance holistically, focus on engaging content and social strategies, and get ready for more advanced queries and augmented reality in search.
Digital Tools for Launching New VenturesKona Company
Digital Strategy - including SEO, SEM and Social Media Marketing - to launch a new venture. Presented to Northwestern University's Kellogg School of Management. October 12, 2015
Message in a Digital Bottle: Find Your Audience in the Internet OceanAristotle, Inc.
The Internet is a big place; are you just going to throw your message out there and hope someone finds it? Marla Johnson, CEO of Aristotle, has a better way.
The document discusses the growth of digital content and online activity. It notes that more content has been created in the last two years than the previous 5,000 years, and that Google now processes over 40,000 searches per second. It also discusses the rise of social media and how many digital activities like photos shared and videos watched occur every minute on major platforms. The document then shifts to discussing content marketing and tactics like landing pages, calls to action, search engine optimization, keyword research, and link building.
The Knowledge Graph is a knowledge base used by Google to enhance its search engine's search results with semantic-search information gathered from a wide variety of sources.
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeMarianne Sweeny
The search sun shifted in March 2011 when Google started rolling out the beginning of the Panda update. Instead of using the famous PageRank, a link-based relevance calculation, Panda rests on a machine interpretation of user experience to decide which sites are most relevant to a searchers quest for knowledge. This means that IA and UX practitioners need to start thinking about the machine implications of the way they structure information on the web, and think ahead about the human implications for how search engines present their sites in response to searcher queries. Bearish SEO will present real, actionable methods for content providers, information architects and user experience designers to directly influence search engine discoverability. Need is an experience. It is a state of being. The goal for this presentation is to ensure that user experience professionals become an integral part of designing search experience.
Georgetown University Guest lecture on SEO and online marketingWO Strategies
April 7th. Guest Lecture on SEO and online marketing at Georgetown University's Digital Marketing class, a part of the Masters in Public Relations and Corporate Communications program.
I apologize, upon reviewing the document I do not have enough context about your industry or topic to identify specific influencers. The document provides information about how to use the tool BuzzSumo to find influencers for a given topic, but does not provide the topic or industry needed to complete the assigned task.
The document discusses a tool called the Knowledge Navigator that provides real-time insights into celebrity engagement with CBD. It analyzes millions of online sources using machine learning to track sentiment, engagement, demographics and more. The tool found over 3,700 articles about celebrities and CBD with 63.2% positive sentiment. It provides customized dashboards and daily insights into how celebrities influence audiences and the CBD industry.
The future of search is context - search insider summit 2010Mark Watkins
The document discusses how search engines are evolving from simple keyword searches to become more context aware applications focused on fulfilling user needs. It suggests search engines will be powered by contextual information like time, location, task, identity and more. Brands and marketers will need to provide more structured data and context to perform well in this new ecosystem, and advertising will become more targeted and analytics-driven based on contextual factors rather than traditional SEO approaches. Producing content to drive context and understanding audiences will be important challenges for brands interacting in this new search landscape.
Hashtag Paydirt with Ciaran Blumenfeld at TBEX North America 2018TBEX
This document discusses how hashtags are used for discovery, growth, and measurement on social media. It notes that while hashtags can still be used to track metrics and engage audiences, changes to platforms' privacy policies and increased AI usage mean marketers, influencers, and individuals need new hashtag strategies. The document provides tips on using different sized hashtags for discovery on Instagram and constructing authoritative accounts that appeal to AI systems.
The document discusses how metrics can help businesses and organizations grow. It provides tips on analyzing core metrics from tools like Google Analytics, Facebook Insights, and Twitter to better understand things like traffic sources, user behaviors, top content, and audiences. The document recommends strategically combining different metrics to make data-driven decisions around content, marketing, and product development. Regular analysis of metrics is presented as an essential practice for ongoing evaluation and improvement.
Shenda Loughnane, 3XE Digital Content & Social Media Marketing ConferenceEoghan O'Neill
The document discusses how consumers are overwhelmed by a large amount of average or irrelevant online content. It argues that content needs to be personalized and data-driven to effectively target the right audiences. The key to driving meaningful connections at scale is to use digital data and consumer intent insights to inform content strategy, creation, and amplification across owned, bought and earned channels for optimal business outcomes. Science, not just art, is needed to create valuable content experiences for consumers.
Larry Page and Sergey Brin founded Google while PhD students at Stanford University. Their research focused on creating a search engine that could find interconnections between pages on the internet. They built PageRank technology to rate page quality and relevance. As Google grew popular for its free search service, it introduced paid listings like AdSense to generate revenue. Google maintained its intellectual capital through human resources improving software, acquisitions expanding offerings, and a 5-step ICM model to identify, map, measure, manage and report on intellectual capital. This allowed Google to become a leading company beyond just search across various products and markets.
Content curation: your next Social Media Marketing ideaGuillaume Decugis
My talk at the Social Media for Non-Profits conference, San Francisco - Oct 11, 2012. Why does Content Curation matter for marketers? What are 7 best practices for Content Curation? What are examples of NPO's doing it right?
Power of LinkedIn Lookup: finding hidden talent in your organization | Talent...LinkedIn Talent Solutions
Ankit Gupta, Principle Product Manager, LinkedIn
Andrew Ahn, Head of Marketing, Lookup, LinkedIn
LinkedIn's latest app, Lookup, lets any employees to find, learn about and contact people they work with. You can search for coworkers by their title, name, skill, past experience, expertise, and more. Come learn how to use LinkedIn Lookup not only to better connect with coworkers, but also to find the right people within your organization who might be perfect for that role you are looking to fill.
Check out the best of Talent Connect: http://bit.ly/1MBqz6m
The document provides information on how businesses can grow online using Google tools and search engine optimization strategies. It discusses how Google handles searches, processes over 40,000 searches per second, and how YouTube watches over 500 years of video every day. It also summarizes Google My Business for managing online presence, the importance of reviews and transparency for reputation, and strategies for search engine optimization including keyword research, link building, and content curation.
The document discusses Avinash Kaushik's recommendation that applause rate, conversation rate, and amplification rate are the best social media metrics for measuring engagement. It defines each metric and explains that TrueSocialMetrics, a social media analytics tool, was inspired by and tracks these metrics across various social media platforms to help users measure real active engagement with their content and identify influential users.
Data science employs techniques from many fields including mathematics, statistics, computer science, and information science. Data scientists use a scientific approach to analyze big data and identify patterns to predict future outcomes and guide decision making. Examples of data science applications include predicting flu outbreaks, ranking web pages, targeting online ads, and optimizing email campaigns. Data science skills in high demand include SQL, Python, R, machine learning, and statistical analysis.
At the 2011 Polish IA Summit, I examine big changes in optimizing for search engines.
We now know that Google is not infallible (seems that companies are easily able to game the PR system) or t all knowing (seems it takes a competitor with a friend at the New York Times to reveal said PR gaming). We also found out that Google can be capricious with blanket suppression of content from certain sites regardless of whether users find it relevant.
This presentation looks at search optimization tools ant tactics that work regardless of these changes and how to keep the site optimized.
This document provides guidance on how to conduct keyword research. It recommends brainstorming keywords, categorizing them, connecting the keywords to relevant data from tools like Google Keyword Planner and Google Search Console, mapping customer journeys, and prioritizing keywords. Various keyword research tools and sources of data are discussed. The importance of usability and the customer experience is emphasized in the keyword selection process.
Visual search has the potential to change how we discover new ideas and products. As such, the likes of Pinterest, Google, and Amazon have made visual search a priority.
It is a complex field, however, requiring sophisticated technology and huge quantities of training data.
In this presentation, you will discover:
- What visual search is
- How visual search works
- How effective the main visual search engines are today
- What you can do to start optimizing for visual search today
The document discusses issues with how computer science has directed the development of search systems, focusing on efficiency over user experience. It argues search systems have paid minimal attention to the user experience beyond results relevance and ad-matching. The goal of the plenary is to inspire designing search experiences that do more than just sell products well.
Georgetown University Guest lecture on SEO and online marketingWO Strategies
April 7th. Guest Lecture on SEO and online marketing at Georgetown University's Digital Marketing class, a part of the Masters in Public Relations and Corporate Communications program.
I apologize, upon reviewing the document I do not have enough context about your industry or topic to identify specific influencers. The document provides information about how to use the tool BuzzSumo to find influencers for a given topic, but does not provide the topic or industry needed to complete the assigned task.
The document discusses a tool called the Knowledge Navigator that provides real-time insights into celebrity engagement with CBD. It analyzes millions of online sources using machine learning to track sentiment, engagement, demographics and more. The tool found over 3,700 articles about celebrities and CBD with 63.2% positive sentiment. It provides customized dashboards and daily insights into how celebrities influence audiences and the CBD industry.
The future of search is context - search insider summit 2010Mark Watkins
The document discusses how search engines are evolving from simple keyword searches to become more context aware applications focused on fulfilling user needs. It suggests search engines will be powered by contextual information like time, location, task, identity and more. Brands and marketers will need to provide more structured data and context to perform well in this new ecosystem, and advertising will become more targeted and analytics-driven based on contextual factors rather than traditional SEO approaches. Producing content to drive context and understanding audiences will be important challenges for brands interacting in this new search landscape.
Hashtag Paydirt with Ciaran Blumenfeld at TBEX North America 2018TBEX
This document discusses how hashtags are used for discovery, growth, and measurement on social media. It notes that while hashtags can still be used to track metrics and engage audiences, changes to platforms' privacy policies and increased AI usage mean marketers, influencers, and individuals need new hashtag strategies. The document provides tips on using different sized hashtags for discovery on Instagram and constructing authoritative accounts that appeal to AI systems.
The document discusses how metrics can help businesses and organizations grow. It provides tips on analyzing core metrics from tools like Google Analytics, Facebook Insights, and Twitter to better understand things like traffic sources, user behaviors, top content, and audiences. The document recommends strategically combining different metrics to make data-driven decisions around content, marketing, and product development. Regular analysis of metrics is presented as an essential practice for ongoing evaluation and improvement.
Shenda Loughnane, 3XE Digital Content & Social Media Marketing ConferenceEoghan O'Neill
The document discusses how consumers are overwhelmed by a large amount of average or irrelevant online content. It argues that content needs to be personalized and data-driven to effectively target the right audiences. The key to driving meaningful connections at scale is to use digital data and consumer intent insights to inform content strategy, creation, and amplification across owned, bought and earned channels for optimal business outcomes. Science, not just art, is needed to create valuable content experiences for consumers.
Larry Page and Sergey Brin founded Google while PhD students at Stanford University. Their research focused on creating a search engine that could find interconnections between pages on the internet. They built PageRank technology to rate page quality and relevance. As Google grew popular for its free search service, it introduced paid listings like AdSense to generate revenue. Google maintained its intellectual capital through human resources improving software, acquisitions expanding offerings, and a 5-step ICM model to identify, map, measure, manage and report on intellectual capital. This allowed Google to become a leading company beyond just search across various products and markets.
Content curation: your next Social Media Marketing ideaGuillaume Decugis
My talk at the Social Media for Non-Profits conference, San Francisco - Oct 11, 2012. Why does Content Curation matter for marketers? What are 7 best practices for Content Curation? What are examples of NPO's doing it right?
Power of LinkedIn Lookup: finding hidden talent in your organization | Talent...LinkedIn Talent Solutions
Ankit Gupta, Principle Product Manager, LinkedIn
Andrew Ahn, Head of Marketing, Lookup, LinkedIn
LinkedIn's latest app, Lookup, lets any employees to find, learn about and contact people they work with. You can search for coworkers by their title, name, skill, past experience, expertise, and more. Come learn how to use LinkedIn Lookup not only to better connect with coworkers, but also to find the right people within your organization who might be perfect for that role you are looking to fill.
Check out the best of Talent Connect: http://bit.ly/1MBqz6m
The document provides information on how businesses can grow online using Google tools and search engine optimization strategies. It discusses how Google handles searches, processes over 40,000 searches per second, and how YouTube watches over 500 years of video every day. It also summarizes Google My Business for managing online presence, the importance of reviews and transparency for reputation, and strategies for search engine optimization including keyword research, link building, and content curation.
The document discusses Avinash Kaushik's recommendation that applause rate, conversation rate, and amplification rate are the best social media metrics for measuring engagement. It defines each metric and explains that TrueSocialMetrics, a social media analytics tool, was inspired by and tracks these metrics across various social media platforms to help users measure real active engagement with their content and identify influential users.
Data science employs techniques from many fields including mathematics, statistics, computer science, and information science. Data scientists use a scientific approach to analyze big data and identify patterns to predict future outcomes and guide decision making. Examples of data science applications include predicting flu outbreaks, ranking web pages, targeting online ads, and optimizing email campaigns. Data science skills in high demand include SQL, Python, R, machine learning, and statistical analysis.
At the 2011 Polish IA Summit, I examine big changes in optimizing for search engines.
We now know that Google is not infallible (seems that companies are easily able to game the PR system) or t all knowing (seems it takes a competitor with a friend at the New York Times to reveal said PR gaming). We also found out that Google can be capricious with blanket suppression of content from certain sites regardless of whether users find it relevant.
This presentation looks at search optimization tools ant tactics that work regardless of these changes and how to keep the site optimized.
This document provides guidance on how to conduct keyword research. It recommends brainstorming keywords, categorizing them, connecting the keywords to relevant data from tools like Google Keyword Planner and Google Search Console, mapping customer journeys, and prioritizing keywords. Various keyword research tools and sources of data are discussed. The importance of usability and the customer experience is emphasized in the keyword selection process.
Visual search has the potential to change how we discover new ideas and products. As such, the likes of Pinterest, Google, and Amazon have made visual search a priority.
It is a complex field, however, requiring sophisticated technology and huge quantities of training data.
In this presentation, you will discover:
- What visual search is
- How visual search works
- How effective the main visual search engines are today
- What you can do to start optimizing for visual search today
The document discusses issues with how computer science has directed the development of search systems, focusing on efficiency over user experience. It argues search systems have paid minimal attention to the user experience beyond results relevance and ad-matching. The goal of the plenary is to inspire designing search experiences that do more than just sell products well.
How Google is Reading and Indexing Content in 2016Greenlane
This is the presentation given by Bill Sebald at the Digital Marketing Suburbia Meetup #1 - https://www.meetup.com/Digital-Marketing-Suburbia/
This presentation focuses on Google's ability to read and understand website content and the intent of queries.
Finding, or not finding, information is consistently the most called out issue in the enterprise. Technology companies spend millions developing features that remain idle because, while everyone is concerned about optimizing enterprise search, no one is doing anything about it. The PM cuts the budget because "the devs will do it." The IA/UX architects do not have the specific expertise. The developers want to do it but do not have appropriate guidance.
This is a call-to-action for developers and ITpros to make sure that they get what they need to make search in the enterprise work. Because, after the interactive marketing agency has left the building, they are the ones that will be hearing "search sucks" directed at them.
This document discusses search engine optimization and the development of search systems. It notes that computer science has directed search system development with a focus on results relevance, while neglecting user experience. The intent is to inspire deeper engagement in designing search experiences that do more than just sell products. It also discusses challenges like the volume of online information, differences in language and perception, and the limitations of current search systems.
This document discusses building effective data science teams. It begins by explaining the importance of being data-driven and provides examples of how companies like Amazon, Netflix, LinkedIn, and others use data to improve their products and business. It then outlines common roles for data scientists, such as decision sciences, product/marketing analytics, fraud detection, and more. Finally, it discusses skills needed for data scientists and how to hire and build strong data science teams.
SEO & Artificial Intelligence: The new rules to stay on top!TheFamily
As Artificial Intelligence evolves, SEO strategies changes as well: Google has already started to implement some Artificial Intelligence tools within its algorithm, including RankBrain.
It's a challenge but also an opportunity to re-think the way we formulate SEO strategy ;)
Why is AI such a big game-changer when it comes to SEO?
How can you adapt to remain in the top results despite these changes?
Philippe Yonnet, is the general manager of Search Foresight, a fast-growing SEO Agency specialized in helping companies to define successful search and inbound marketing strategies.
Philippe has more than 10 years experience and will give all the tips you need to rock your audience ;)
This document summarizes notes from a conference or workshop on search engine optimization and user experience. It discusses various topics around how search engines work, personalization of search results, and Google's approach to personalization. It also mentions changes in search engine behavior over time and the importance of brands and trust.
BrightonSEO 2018 (September 28): How to Optimize for Visual SearchClark Boyd
In this presentation, I cover the key areas of visual search:
- What is visual search?
- How does visual search work?
- Why should you care?
- How you can get started.
Microsoft Search is looking to bring the search experiences across all Microsoft 365 services together into a single unified experience. Attend this session to learn how the experience impacts your users, how you can configure it as well as scenarios where you should customize it.
Structure Matters - Information Architecture for SEO and UXAscedia
Information architecture is increasingly important in all aspects of business. Search engines and users are placing the burden of information organization and structure on website owners and rewarding or penalizing brands according to their accessibility. From domain structure to sitemap hierarchy to page layout, content architecture can directly affect lead generation, website engagement and conversion rates. Not understanding best practices or performing diligent testing can quickly impede search engine rankings and user experience. Learn the necessary steps required to properly architect your website's content and data.
Structure Matters - Information Architecture for UX & ConversionsJackie Burhans
Presented at World Information Architecture Day, my presentation explores how the power of driving information has shifted from content creators to content consumers and how your message can reach your audience in a constantly changing digital landscape.
Introduction to Microsoft Search #SRC101 #365EduCon 20211214Kanwal Khipple
Microsoft Search is looking to bring the search experiences across all Microsoft 365 services together into a single unified experience.
Attend this session to learn how the experience impacts your users, how you can configure it as well as scenarios where you should customize it.
Google introduced a new search algorithm called Hummingbird that processes search queries differently than previous algorithms. Hummingbird considers the meaning and context of the entire search query, including relationships between words, rather than just matching individual keywords. This allows Google to better understand users' intents and provide more relevant and conversational search results. The Hummingbird algorithm leverages technologies like semantic search, voice search, and Google's Knowledge Graph database to help answer complex queries directly or assist with follow-up searches.
Digital Firefly Marketing provides online marketing services including search engine optimization, content marketing, website design, and social media marketing. It was founded to help organizations maximize their online presence through expertise, resources, and speed. The document discusses search engine optimization, explaining how search engines like Google work and the importance of keywords. It covers topics like navigational searches, informational searches, and developing a keyword strategy.
Microsoft Search is looking to bring the search experiences across all Microsoft 365 services together into a single unified experience. Attend this session to learn how the experience impacts your users, how you can configure it as well as scenarios where you should customize it.
The document discusses how Web 2.0 technologies like tagging and folksonomies can impact enterprise search. It notes that tagging allows for serendipitous discovery, connects people with shared interests, and helps navigate large amounts of information. Applying these techniques within companies can help employees find expertise, resources, and build connections by seeing what content others are bookmarking. Proper implementation requires enough participation to generate useful metadata through the "wisdom of the crowds."
Similar to An HCI-design research approach to search (20)
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.
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
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
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Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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Energy Efficient Video Encoding for Cloud and Edge Computing Instances
An HCI-design research approach to search
1. Searching Your Own Braina HCI-design research approach to search Sean Connolly December 1, 2009
2. James.Daedalusa new search interaction hot dog pirate ninjas del.icio.us SEO Easter bunny information millions HCI design thinking CHI C3 Sean Connolly December 1, 2009 search evaluation enterprises apple heuristics algorithm
5. “Based on our field studies, we dug more deeply into how people were actually using our Advanced Search page, and quickly discovered that, indeed, a large number of users were going to the page, and then leaving it without ever filling in any of the slots.” - Dan Russell, Google, Senior Research Scientist in Search Quality
6. Exploratory Search White & Marchioni When users do not receive the information they were looking for in response to a query, they exhibit the following responses: … scan results page for keywords … scan urls for pate information … iterate search This is the user feedback loop!
22. Search as Best Friend “[The] ideal search engine? Your best friend with instant access to all the world’s facts and a photographic memory of everything you’ve seen and know. That search engine could tailor answers to you based on your preferences, your existing knowledge and the best available information; it could ask for clarification and present the answers in whatever setting or media worked best.” - Marissa Mayer, Google, VP Search Product and User Experience
23. Search as Understanding Meaning “Google needs to move “from words to meaning.” In other words, Google needs to understand queries better, and return results that best match the real meaning of a query. “We have to get from the sort of casual use of asking, querying…to “what did you mean?”” - Eric Schmit, Google, CEO
24. Search Interacts Direct With Brain “Sergey argues that the correct thing to do is to just connect it straight to your brain. In other words, you know, wire it into your head.” - Eric Schmit, Google, CEO speaking of a conversation with Sergey Brin, Co-Founder of Google
25. James.Daedalus This project grew out of navigation tool was imagined to help solve a problem for a social database the C3 enterprises designed and developed with tags and searching. Because the interaction helped navigate user generated tags, it generalized perfectly to search engine technology.
Search algorithms are a wonderful thing. But sometimes search is frustrating. Why is it frustrating? Well, it’s frustrating because it didn’t work. What does that mean, “didn’t work?” It “worked,” didn’t it? The algorithm gave you an answer. But it didn’t give you “the right” answer, you say. That was the problem. But what is “the right” answer?
[start animation]Just stuff. You want information. This is the time for information overload. When the user is in the presence of an uncertain decision, the user needs more information. And I say, more ways to interact with it. See, search algorithms are awesome. They parse text documents as just bags-of-words, with no meaning to be made between them. Each word is a distinct object. Now when it matches your query up with all the documents out there on the internet well…It gets a lot of words in return!
“Advanced Search” pages. Ask Jeeves has one.
Yahoo’s got ‘em . You Tube’s got ‘em. Google’s got ‘em. Actually, to be fair, Google now has this one. But this (right picture), was Google answer to what happens when a user is frustrated by search not even a year ago. Google made the switch from this (right) to this (left).It is an improvement. It is a thoughtful reduction of the form. But it’s not a transformative answer. It’s not a disruptive answer to “what happens when the user is frustrated by search?”But it is functional. Narrowing down your search with these tools can help improve your search results. But here’s the major problem… [To be even more fair, the way search engines run and refine algorithms is their best answer to “what happens when a user is a frustrated by search,” and we only have them to thank for products like the one I am about to display.]
People don’t use it. What’s nice about me is that I am, amongst other things, a practicing usability specialist in the User Experience lab at UITS, the IT department for the statewide network of Indiana Universities. In this capacity I run usability tests on web interfaces as a profession. I am well versed in web standards and I can tell you that Google did an excellent job of revising their Advanced Search Page according to good current principles. But something is lacking. Even though it would help people to refine searches in this manner, they don’t user it. What do users do when they have a search that frustrates them, they do what you do.
They look for keywords in the response results. Then, they refine their query in the search bar, using the information obtained through this analysis.Ryen White, at Microsoft Research, has labeled this type of user behavior “exploratory search.” Users analyze the search results pages for information, and then enter that information into the query bar and run again. Therefore, the behavior we seek to create with our search interaction, James.Daedalus, already maps to the behaviors users already express.But I ask, if the computer knows better which words in the bag-of-words problem it’s confusing anyway, why doesn’t it tell me? And why does it make go to an Advanced Search page for help?(This is a query a ran looking for a paper while working on this very project. I was talking to my information visualization professor at the ‘water cooler’ and he said, for this project, I needed to read Ed Chi, Peter Pirolli, and James Pitkow’s paper on “Information Scent.”)
First we make sure we can obtain meaningful information from the algorithm. We can, as evidenced by this popular browser plug-in ‘Search Cloudlet’ (perhaps they would be eager to find a monetization schema for their information). The search interaction would be built around these *actual* *search impacting* words.
[Please forgive the axis labels. They should ignored on this older prototype.]If the user found words she knew did not apply, she could ‘click’ them so they would be taken out of the search. So let’s say I know I’m looking for a the well-known ‘Information Scent’ paper by Ed Chi, et al. I type in “chi” and “visualization.” But notice the problem I have with Ed’s last name, “Chi.”The “chi” of Ed Chi is not the same as the “chi” in “tai chi.” The browser plug-in lets me know with confidence that “tai” is one of the words impacting my search. Perhaps I could have dissected the search results page, and chosen this myself. But by revealing this information to the user, the user knows EXACTLY which words are the MOST impactful. And she can navigate more clearly. To stop “tai” from impacting my search results, then, I click on ‘tai’ and it disappears.[click powerpoint.]Like so.
The search page of whichever search engine provides immediate feedback of the changed query. However – what about these problems? “Chi” is also, in addition to “tai chi”, just “chi”, the special type of energy used in martial arts. But I can’t take that out of my search. That “chi” is noise I will have to further look through. Furthermore, “CHI” is also the name of the Computer-Human-Interaction Conference at which this paper was published! Furthermore, we later find out that Ed Chi does in fact study martial arts, so even removing “martial arts” from a query might very well harm our query. That is a severe problem with current search. The user has to NOT an object when dismissing it’s important during search. We would like instead to marginalize the impact of impactful words in a search, by reweighting their value, making their IMPACT on the search zero, but not taking on a value of ZERO themselves. How do we do this? Well you push the words that relate to your idea to the center of the coordinate space if want to associate them (as Gestalt would suggest), and increase their impact on your search ( since you know these specific words impact it). Conversely as you pull words away from center, you marginalize the impact of that impacting key word. One imagines that as the user pushes more and more words away, more and more relevant keywords naturally emerge closer to center allowing the user to create her own, rich, INFORMATION ENVIRONMENT, which she can refine and explore in greater (and increasingly greater) detail. Now before asking anybody to code this poor thing, I wanted to make sure people could actually make sense of these floaty-keyword blobs that I was imaginging…
So I made paper prototypes of the concrete words
I didn’t in three different sizes to approximate the experience of one for the iPhone, one for a search engine on the computer, and one for a table top touch system,.
Then I led users through a cognitive walkthrough, with the same search query you were shown above, and asked how they might use the jumble of words to “narrow a search.”Users found the interaction quite intuitive and were able to figure out (by the feedback in the display) that moving keywords to center reweighted important search words more heavily (thus leading to the object of their search), and that moving keywords to ‘outer’ shells marginalized the value of the keywords (and thus, did not impact their search).Users also discovered that since the
Too make the interaction more manageable, instead of having entirely unordered, floating words, I used ‘shells’ to let the user more precisely visually choose how impactful she wanted a certain keyword to be. This interaction was built around the idea of creating FLOW to disrupt the frustration of failed search. By designing the interface around clear cognitive principles, we gain insight to an approach to the audience that should be intuitive. It is. It expresses clear goals to the audience (it at least gives them words to reweight, which are helpful even when simply browsing information absently), it provides immediate feedback (through the search engine results page), it provides the keyword for the user so they use the easier cognitive process of recognition – just recognizing concepts that relate – versus the harder cognitive process of recall –remembering from memory concepts that relate. It also leverages the fact that this is the behaviors users use when stumped by search currently. No new behavior is needed.
However, now comes the tough part. We know the basic postulates work. But, if the center of the grid now means “importance,” we realize that keyword size need not refer to importance in the interface. Location alone achieves that. What can we do now with size? And what can we do with color? Now too, picture it again as a Christmas shopping tool. While you’re looking for your favorite designer, you notice other designers the algorithm finds related. You find baseball cards next to baseball bats and decide to purchase those too. You look for concepts the way your head looks for concepts – not by trying to figure out what search algoirthms mean… but by trying to refine what you want, by recognizing what you don’t.
This interface, because it is not built, is sometimes hard to understand without the visual elements in motion to play with. But having had run this interaction past the toughest mathematic and data-retrieval people I know, this interaction should not only be able to be successfully developed, it should not actually be difficult at all. The business plan is better expressed in the questions already answered in the application. But I am serious about seeing this through. I am in Bloomington until May. And I only have 20 hours of commitment to my current job. I could leap at this, and see this through to successful completion. Much like the idea is hard to understand without the visuals, it is hard to invest in without the working prototype. But having had seen the reaction of many users, I am confident this simple tool (and the many extensions possible – for the xbox, for the iPhone, for searching information in any context) will quickly gain traction for its whimsy, playfulness, and usefulness in the most lucrative market in technology today.Search.Sean Connolly 310.801.7642 james.daedalus@gmail.com