Practical Recommender Systems 1st Edition by Kim Falk ISBN 1617292702 978-1617292705

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Product details:

ISBN 10: 1617292702 

ISBN 13: 978-1617292705

Author: Kim Falk

Online recommender systems help users find movies, jobs, restaurants-even romance! There’s an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application!
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Table of contents: 

1. PART 1 – GETTING READY FOR RECOMMENDER SYSTEMS

2. What is a recommender?
3. User behavior and how to collect it
4. Monitoring the system
5. Ratings and how to calculate them
6. Non-personalized recommendations
7. The user (and content) who came in from the cold

8. PART 2 – RECOMMENDER ALGORITHMS

9. Finding similarities among users and among content
10. Collaborative filtering in the neighborhood
11. Evaluating and testing your recommender
12. Content-based filtering
13. Finding hidden genres with matrix factorization
14. Taking the best of all algorithms: implementing hybrid recommenders
15. Ranking and learning to rank
16. Future of recommender systems

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