Multi-Linear Interactive Matrix Factorization
Published in arXiv (Cornell University) • Apr 7, 2014
Authors:,,
Lu Yu
Chuang Liu
Zi‐Ke Zhang
Abstract
Recommender systems, which can significantly help users find their interested items from the information era, has attracted an increasing attention from both the scientific and application society. One of the widest applied recommendation methods is the Matrix Factorization (MF). However, most of MF...
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