CS572: Information Retrieval and Web Search (Spring 2010)

[ Lecture Notes, Assignments, and Schedule ]

Lecture 1: introduction and course overview

Announcements

 

Lectures:	Tuesdays and Thursdays 11:30am-12:4pm Room: W303
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.   SUI: Marti Hearst, Search User Interfaces, Cambridge University Press. 2009. Book available (free) online: http://searchuserinterfaces.com/    Other readings will be from research and survey articles, will be posted online as needed.
Grading:	Project 1: 20% Midterm exam: 25% Project 2: 30% Final exam: 25%
Instructor:	Eugene Agichtein http://www.mathcs.emory.edu/~eugene/   Office: E500 (5th floor), Emerson Hall. Telephone: (404) 727-7962 Office Hours: TBA Currently: by appointment. Email: eugene@mathcs.emory.edu