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KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 8 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
ECCV
2002
Springer
14 years 9 months ago
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
Abstract. Quadrature filters are a well known method of low-level computer vision for estimating certain properties of the signal, as there are local amplitude and local phase. How...
Michael Felsberg, Gerald Sommer
IR
2002
13 years 7 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
CIKM
2009
Springer
14 years 2 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
EWMF
2003
Springer
14 years 22 days ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou