CS 510
Spring 2022 All Classes
All Classes
Credit: 4 hours.
Advanced concepts, models, and algorithms in information retrieval and major recent developments in the field, including historical milestones in information retrieval research, evaluation methodology, vector space retrieval model, probabilistic retrieval models, learning to rank algorithms, probabilistic topic models, information retrieval systems, text analytics, and topics of research frontiers in information retrieval.
4 graduate hours. No professional credit. Prerequisite: One of CS 410, CS 412, CS 446 or LING 406.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
72449
|
Lecture-Discussion
|
A1
|
9:30AM
-10:45AM
|
TR
|
1310 Digital Computer Laboratory
|
Zhai, C
|
|