CS572: Information Retrieval and Web Search

[ Lecture Notes, Assignments, and Schedule ]

Announcements

• No Lecture: Tuesday, 9/30 (Instructor OOF)
• Project 1 description posted, due Friday, October 17

 

Lectures:	Tuesdays and Thursdays 10-11:15 am  Room: W304
Course Description:	Basic and advanced techniques for text-based information systems: text indexing; Boolean, vector space, and probabilistic retrieval models; evaluation, feedback, user modeling, and interface issues; Web search including crawling, link-based algorithms, and Web metadata; text/Web clustering, classification; information extraction and text mining; Web2.0: Social networks, community systems, and user-generated content.
Prerequisites:	Good knowledge of Java (CS370 or equivalent), substantial programming experience, basic linear algebra and probability and statistics.
Textbooks:	MRS: Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008. Book available online.   CMS: Bruce Croft, Donald Metzler, and Trevor Strohman, Search Engines: Information Retrieval in Practice, in press (2009) http://www.pearsonhighered.com/croft1epreview/ (Selected chapter drafts will be made available)
Grading:	Project 1: 20% Midterm exam: 30% Final project: 50%
Instructor:	Eugene Agichtein http://www.mathcs.emory.edu/~eugene/   Office: N420 Math & Science Center. Telephone: (404) 727-7962 Office Hours: TBA Currently: by appointment. Email: eugene@mathcs.emory.edu