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:
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

Last updated: 14 January 2009