Course Info

CSC 575: Intelligent Information Retrieval

Examination of the design, implementation, and evaluation of information retrieval systems. The focus is on the underlying retrieval models, algorithms, and system implementations. Also examined is how an effective information search and retrieval is interrelated with the organization and description of information to be retrieved. Topics include: automatic indexing; thesaurus generation; Boolean, vector-space, and probabilistic models; clustering and classification; information filtering; distributed IR on the WWW; intelligent information agents; IR system evaluation; information visualization; and natural language processing in IR. Throughout the course, current literature from the viewpoints of both research and practical retrieval technologies both on and off the World Wide Web will be examined.

CSC 403 (or Data Science MS students)

Spring 2024-2025

  • Section: 901
  • Class number: 35166
  • Meeting time: Tu 5:45PM - 9:00PM
  • Location: LEWIS 01107 at Loop Campus
  • Instructor: Kenny Davila | View syllabus

Winter 2023-2024

  • Section: 801
  • Class number: 22610
  • Meeting time: Tu 5:45PM - 9:00PM
  • Location: LEWIS 01005 at Loop Campus
  • Instructor: Noriko Tomuro | View syllabus

Winter 2022-2023

Winter 2021-2022