COMP7240 Recommender Systems (3 units)
- Postgraduate student standing
- Medium of Instruction:
The topics of this course mainly include: (1) basic concepts such as user preference and prediction; (2) a variety of typical recommendation approaches including collaborative filtering, matrix factorization, and natural language processing based approaches; (3) system evaluation design and metrics; (4) the role of human factors in system implementation and user-centered evaluation; and (5) popular applications in e-commerce sites and social networks.
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