Can you recommend a book with good information that can be applied to developing a recommender system?
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4$\begingroup$ If a recommender system posts a response to your query, would that be like Russell's barber who shaves himself? $\endgroup$– Dilip SarwateCommented Jan 16, 2012 at 2:29
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$\begingroup$ @mbq some of the OP's questions have a cw-flavor (including this one). Maybe one should change them if the OP refuses to accept ;). $\endgroup$– steffenCommented Jan 16, 2012 at 9:26
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1$\begingroup$ I agree with @steffen. Can you recommend... almost begs for this to be CW. $\endgroup$– cardinalCommented Jan 21, 2012 at 1:22
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7 Answers
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An 800+ page definitive guide from the top experts in the field (pricey though): Recommender Systems Handbook. Each chapter is written by different folks (one could try googling specific chapters - some of them are freely available on the web)
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For a very basic introduction you could check out chapter 2 of Programming Collective Intelligence.
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An introductory book would be this one here. He describes several algorithms for recommender systems in a simple addition to having several references if you'd like to know more about a technique especifismo. Besides this, here is this other kind of a collection of articles.
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It's not a book and it's not organized, but it contains many algorithms, links, code and paper references: http://www.netflixprize.com/community/forum.html . You may download all the data as tarball.
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3$\begingroup$ I went to a talk recently where someone presented on the methods used for netflix and how to do it using R: prezi.com/8fbsaa7mushs/using-r-for-data-mining-competitions $\endgroup$ Commented Jan 20, 2012 at 21:31
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I wrote a monograph about the Netflix Prize and recommender systems: "Predicting movie ratings and recommender systems"
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Here are some of the books and Research Publications on Recommendation Systems
Free & downloadable (Good introduction on Collaborative Filtering Recommendation) http://md.ekstrandom.net/research/pubs/cf-survey/
Other books are -
Recommender Systems - Introduction
Recommender Systems - Handbook
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The books mentioned here are amazing in-depth that catch you up to most recent research in the field. I wrote a chapter in Data Mining Applications with R that gets you up and running to the point of writing and testing your own recommendation algorithms quickly. This is not as in depth as the other books and is only a starter template. You will still need to read these books and papers in the field to learn more about the topic.
Good luck
