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Can you recommend a book with good information that can be applied to developing a recommender system?

B Seven
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    If a recommender system posts a response to your query, would that be like Russell's barber who shaves himself? – Dilip Sarwate Jan 16 '12 at 02:29
  • @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 ;). – mlwida Jan 16 '12 at 09:26
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    I agree with @steffen. *Can you recommend...* almost begs for this to be CW. – cardinal Jan 21 '12 at 01:22

7 Answers7

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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)

Yevgeny
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For a very basic introduction you could check out chapter 2 of Programming Collective Intelligence.

user728785
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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.

Rahul Bali
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cyborg
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    I went to a talk recently where someone presented on the methods used for netflix and how to do it using R: http://prezi.com/8fbsaa7mushs/using-r-for-data-mining-competitions/ – Brandon Bertelsen Jan 20 '12 at 21:31
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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.

zeferino
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I wrote a monograph about the Netflix Prize and recommender systems: "Predicting movie ratings and recommender systems"

Arek Paterek
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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 -

  1. Recommender Systems - Introduction

  2. 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

ignorant
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