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.
(CSC 412 and (CSC 478 or DSC 478)) or (CSC 403 and (IS 467 or DSC 441)) are the prerequisites for this class..
Winter 2024-2025
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Section:
801
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Class number:
25676
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Meeting time:
Tu
5:45PM
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9:00PM
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Location:
LEWIS 01005
at
Loop Campus
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Instructor:
Kenny Davila
| View syllabus