Introduction to Recommender Systems's Full Profile
This graduate course covers a broad set of topics on recommender algorithms (non-personalized; content-based; user-user, item-item, and matrix-factorization collaborative), evaluation, data, and user experience and design. Distinction includes extensive programming.
Sep 01, 2013
to Sep 01, 2013
- Level of Difficulty: Beginner
- Size: Massive Open Online Course
- Institution: Coursera
- Topics: Design
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