CSE272: Information Retrieval

Course covers major topics of information retrieval including: characteristics and representation of text, several important retrieval and ranking models, content recommendation and classification; distributed or federated search, AI semantics and dialog for information access; human factors and interfaces; and evaluation, and domain-specific applications. A research project is required. Enrollment is restricted to graduate students. Undergraduates may enroll with permission of instructor. (Formerly TIM 260.)

5 Credits


Formerly TIM 260

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.