By Joseph A Konstan and Michael D Ekstrand, courtesy from University of Minnesota.
Coursera.org link: https://www.coursera.org/course/recsys
"This course introduces the concepts, applications, algorithms, programming, and design of recommender systems--software systems that recommend products or information, often based on extensive personalization."
- Workload: 4-10 hours/week
- Taught In: English
- Basic-concepts.
- Non-personalized recommenders.
- Content-based recommenders.
- User-User Collaborative Filtering.
- Evaluation.
- Item-Item Collaborative Filtering
- Dimensionality Reduction
- Advanced Topics: Securaty, privacy, cold-start, context-aware recommenders
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