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    copied!<p>This isn't directly related to Amazon's recommendation system, but it might be helpful to study the methods used by people who competed in the <a href="http://netflixprize.com/" rel="noreferrer">Netflix Prize</a>, a contest to develop a better recommendation system using Netflix user data. A lot of good information exists in their <a href="http://www.netflixprize.com//community/" rel="noreferrer">community</a> about data mining techniques in general. </p> <p>The team that won used a blend of the recommendations generated by a lot of different models/techniques. I know that some of the main methods used were principal component analysis, nearest neighbor methods, and neural networks. Here are some papers by the winning team:</p> <p>R. Bell, Y. Koren, C. Volinsky, "<a href="http://www.netflixprize.com/assets/ProgressPrize2008_BellKor.pdf" rel="noreferrer">The BellKor 2008 Solution to the Netflix Prize</a>", (2008).</p> <p>A. Töscher, M. Jahrer, “<a href="http://www.netflixprize.com/assets/ProgressPrize2008_BigChaos.pdf" rel="noreferrer">The BigChaos Solution to the Netflix Prize 2008</a>", (2008).</p> <p>A. Töscher, M. Jahrer, R. Legenstein, "<a href="http://netflixkddworkshop2008.info/accepted.html" rel="noreferrer">Improved Neighborhood-Based Algorithms for Large-Scale Recommender Systems</a>", SIGKDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition (KDD’08) , ACM Press (2008).</p> <p>Y. Koren, "<a href="http://www.netflixprize.com/assets/GrandPrize2009_BPC_BellKor.pdf" rel="noreferrer">The BellKor Solution to the Netflix Grand Prize</a>", (2009).</p> <p>A. Töscher, M. Jahrer, R. Bell, "<a href="http://www.netflixprize.com/assets/GrandPrize2009_BPC_BigChaos.pdf" rel="noreferrer">The BigChaos Solution to the Netflix Grand Prize</a>", (2009).</p> <p>M. Piotte, M. Chabbert, "<a href="http://www.netflixprize.com/assets/GrandPrize2009_BPC_PragmaticTheory.pdf" rel="noreferrer">The Pragmatic Theory solution to the Netflix Grand Prize</a>", (2009).</p> <p>The 2008 papers are from the first year's Progress Prize. I recommend reading the earlier ones first because the later ones build upon the previous work.</p>
 

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