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

Year	Fall	Winter	Spring	Summer
2022-23			Section 01 Yi Zhang (yiz)
2021-22			Section 01 Yi Zhang (yiz)
2020-21			Section 01 Yi Zhang (yiz) Section 01 Yi Zhang (yiz)

Comments

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.