Course Info

CSC 577: Recommender Systems

Recommender systems offer personalized access to online information in product catalogs, social media networks, and document collections, among other applications. This class will introduce students to a range of approaches for building recommender systems including collaborative, content-based, knowledge-based, and hybrid methods. Students will implement recommendation algorithms using an open-sourced toolkit and conduct experimental evaluations. PREREQUISITE(S): (CSC 412 and CSC 478) or (CSC 403 and IS 467)

(CSC 412 and (CSC 478 or DSC 478)) or (CSC 403 and (IS 467 or DSC 441)) are the prerequisites for this class..

Winter 2020-2021

Section: 820
Class number: 33906
Meeting time: -
Location: Online: Async

Spring 2017-2018

Section: 901
Class number: 35759
Meeting time: M 5:45PM - 9:00PM
Location: LEWIS 01110 at Loop Campus
Instructor: Robin Burke
Section: 910
Class number: 35760
Meeting time: -
Location: Remote
Instructor: Robin Burke

Winter 2016-2017

Section: 801
Class number: 27041
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00222 at Loop Campus
Instructor: Robin Burke
Section: 810
Class number: 27042
Meeting time: -
Location: Remote
Instructor: Robin Burke