C. Lee Giles David Reese Professor, College of Information Sciences and Technology Graduate...

C. Lee GilesDavid 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

giles@ist.psu.edu

http://clgiles.ist.psu.edu/IST441

Information Retrieval and Search EnginesIST 441

Introduction to course and search engines

Course homepage• Everything you need to know about the course

– http://clgiles.ist.psu.edu/IST441– 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

• CiteSeerx (all scholarly documents – focus on computer science)

• ChemXSeer (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

http://clgiles.ist.psu.edu

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

• Internet and Web– Web structure

• Semantic search• Google and link analysis• Social networks

Approach• Readings and Lectures

– Exercises– One exam– Participation

• Projects– Build 2 specialty search engines for a customer

• Customer defines the project– Built with Nutch, YouSeer, Lucid Works (based on Solr/Lucene)– Who uses Lucene– 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

Web search engine use has new activities

Pew Internet & American Life Internet Project Survey: 2009

PewInternet

Search Engine Market Share

Dec 2012 2 billion internet users

2012

ComScore global share

Number of search engine queries - US

About billion per day

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