Books on Recommender Systems
Books on recommender systems provide the space to lay out the field and take you on a tour of the techniques and give you the detail you need to understand them, with more breadth and detail than a much shorter review paper.
Again, given that the field is quite mature, older books, such as those published a decade ago, should not be immediately neglected.
Some top textbooks published by key researchers in the field include the following:
I own a hard copy of “Recommender Systems: An Introduction” and cannot recommend it highly enough.
This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge- based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies.
— Recommender Systems: An Introduction, 2010.
The table of contents for this book is as follows:
- Chapter 1: Introduction
- Chapter 2: Collaborative recommendation
- Chapter 3: Content-based recommendation
- Chapter 4: Knowledge-based recommendation
- Chapter 5: Hybrid recommendation approaches
- Chapter 6: Explanations in recommender systems
- Chapter 7: Evaluating recommender systems
- Chapter 8: Case study: Personalized game recommendations on the mobile Internet
- Chapter 9: Attacks on collaborative recommender systems
- Chapter 10: Online consumer decision making
- Chapter 11: Recommender systems and the next-generation web
- Chapter 12: Recommendations in ubiquitous environments
- Chapter 13: Summary and outlook
It can be good to get a handbook on the topic with chapters written by different academics summarizing or championing their preferred techniques and methods.