Practical Recommender Systems

Practical Recommender Systems Front Cover
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2019-03-09
401 pages

Book Description

Recommender are practically a necessity for keeping a site's content current, useful, and interesting to visitors. Recommender are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even .

Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.

Purchase of the print book includes a free eBook in , , and ePub formats from Manning Publications.

Table of content

Part 1 Getting ready for recommender systems
1 What is a recommender
2 User behavior and how to collect it
3 Monitoring the system
4 Ratings and how to calculate them
5 Non-personalized recommendations
6 The user (and content) who came in from the cold

Part 2 Recommender
7 Finding similarities among users and among content
8 Collaborative filtering in the neighborhood
9 Evaluating and your recommender
10 Content-based filtering
11 Finding hidden genres with matrix factorization
12 Taking the best of all algorithms: Implementing hybrid recommenders
13 Ranking and learning to rank
14 Future of recommender systems

Book Details

  • Title: Practical Recommender Systems
  • Author:
  • Length: 401 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-03-09
  • ISBN-10: 1617292702
  • ISBN-13: 9781617292705
File HostFree Download LinkFormatSize (MB)Upload Date
NitroFlare Click to downloadTrue PDF1202/27/2019
UsersCloud Click to downloadTrue PDF1201/20/2019
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