CSE 435: Information Retrieval
This page refers to the Fall 2013 offering of CSE 435 only. The information on this page does not necessarily apply to every offering of CSE 435.
Fall 2013
23663
Staff
Information Retrieval
This course will focus on text-based information retrieval (IR) techniques, more popularly known as search engines. Various IR models such as the Boolean model, vector space model, probabilistic model will be studied. Efficient indexing techniques for large document collections as well as specialized collections will be examined. Various query expansion techniques such as local context analysis will be introduced. Finally, the course will also discuss search engines for the web, and the use of link analysis to determine document/page relevance. Students will work on written assignments, as well as hands-on programming projects to gain expertise in this area.
None presently available.
CSE 250, MTH 309
