C. Lee Giles David Reese Professor, College of Information Sciences and Technology Graduate Professor of Computer Science and Engineering Courtesy Professor of Supply Chain and Information Systems The Pennsylvania State University, University Park, PA, USA Information Retrieval and Search Engines IST 441 Introduction to course and search engines

Course homepage Everything you need to know about the course – –Or put IST441 into Google Project Exercises Readings Schedule Participation Exam

Professor C. Lee Giles Intelligent and specialty search engines; cyberinfrastructure for science, academia and government; big data –Modular, scalable, robust, automatic science and technology focused cyberinfrastructure and search engine creation and maintenance –Large heterogeneous data and information systems –Specialty science and technology search engines for knowledge discovery & integration CiteSeer x (all scholarly documents – focus on computer science) Chem X Seer (e-chemistry portal) CollabSeer (collaboration search) CSSeer (expert finding) Scalable intelligent tools/agents/methods/algorithms –Information, knowledge and data integration –Information and metadata extraction; entity recognition –Chemical formulae & names, tables, and figures –Unique search, knowledge discovery, information integration, data mining algorithms –Expert and collaboration recommendation –Research evaluation

What will be covered What is information –How much is there? Properties of text –Documents models Information retrieval (IR) systems and methods –Query structures –Evaluation and Relevance –Role of the user –Vector models –Inverted index

What will be covered Search engines as IR systems and how they work –Indexers –Crawlers –Ranking –Evaluation –SEO Google and link analysis Internet and web –Web structure Semantic search (next generation) Recommender systems

Approach Readings and Lectures –Exercises –One exam –Participation Projects –Build 2 specialty search engines for a customer Customer defines the project –Built with Nutch, Lucene, Lucid Works (based on Solr/Lucene)Solr/Lucene –Who uses LuceneLucene –Build a Google Custom Search Engine »Comparison of these two –Customer receives (reviews) search engine at the end of the semester –Presentation on search engines built –Report on search engine due at end of semester Undergrads vs grads Guest seminars

manyeyes visualization

Search gains on July 2008 Pew Internet StudyPew Internet manyeyes visualization

Web Search Engine Use and Commerce Continues to Grow Pew Internet & American Life Internet Project Survey: Sept, Search Engine News: Search engine advertising revenues exceed TV networks Walmart and other retailers express concern over Google FOG replaces FOM

Web Search Engine Use and Commerce Continues to Grow Pew Internet & American Life Internet Project Survey: August, 2008 PewInternet

Web search engine use has new activities Pew Internet & American Life Internet Project Survey: 2009 PewInternet What did you search for today?

Web Search Engine Use and Commerce Continues to Grow

Search Engine Market Share

Search Engine Market Share - US seoconsultants

2009 Search Engine Market Share - US seoconsultants

Search Engine Market Share - US

Search Engine Market Share

Dec billion internet users

Dec billion internet users

Nov billion internet users

~3 billion internet users

Marketshare Search engine market share seems to be debatable ComScoreComScore global share

ComScoreComScore global share Number of search engine queries - US About 500M per day

2012

ComScoreComScore global share

ComScoreComScore global share Number of search engine queries - US About billion per day

ComScoreComScore global share Number of search engine queries - US About billion per day

Number of search engine queries - US About billion per day

Number of search engine queries - US About billion per day

Students who took this course Google Yahoo Microsoft Facebook Twitter RIT IBM Tencent Klout eBay Raytheon Lockheed Martin … Many startups