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