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Factorization meets the neighborhood

. Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08, ACM Press, (2008)
DOI: 10.1145/1401890.1401944

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Improved Neighborhood-based Collaborative Filtering, and . 1st KDDCup'07, San Jose, California, (2007)Measuring and extracting proximity in networks., , and . KDD, page 245-255. ACM, (2006)Tutorial on recent progress in collaborative filtering.. RecSys, page 333-334. ACM, (2008)Drawing Directed Graphs Using Quadratic Programming., , and . IEEE Trans. Vis. Comput. Graph., 12 (4): 536-548 (2006)Performance of recommender algorithms on top-n recommendation tasks, , and . Proceedings of the fourth ACM conference on Recommender systems - RecSys \textquotesingle10, ACM Press, (2010)Fast direction-aware proximity for graph mining., , and . KDD, page 747-756. ACM, (2007)Adaptive bootstrapping of recommender systems using decision trees., , and . WSDM, page 595-604. ACM, (2011)ACE: A Fast Multiscale Eigenvectors Computation for Drawing Huge Graphs., , and . INFOVIS, page 137-144. IEEE Computer Society, (2002)Factor in the Neighbors: Scalable and Accurate Collaborative Filtering. AT&T Labs – Research, 180 Park Ave, Florham Park, NJ 07932, (2008)Factor in the neighbors: Scalable and accurate collaborative filtering. TKDD, (2010)