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CSC-431
BS

Introduction to Recommender Systems

(DE) Domain Elective Theory: 3 Cr. Hrs Total: 3 Cr. Hrs
Objectives: Concepts and algorithms of recommender systems, collaborative and content-based recommendation techniques, evaluation, and human-computer interaction in recommender systems.

Contents: Introduction to Recommendation Systems; Recommender Systems Function, Data and Knowledge Sources, Recommendation Techniques, Application and Evaluation, Recommender Systems and Human Computer Interaction; Collaborative recommendation; Content-based recommendation; Evaluating Recommendation Systems; Recent topics in Recommender Systems.

In Programmes
BS BS (Computer Science)
Electives Pool — Elective · Data Science (Fall 2026 onwards)
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