Collaborative filtering algorithm based on user attribute item dependency
Published • May 1, 2017
NobleIDNI1P90W19R02S04
Authors:,,
Xuewang Zhang
Xun Jiang
Xuewang Zhang
Abstract
Traditional collaborative filtering algorithms, which are mainly based on the users' rating scores, ignored the effect of user attributes on recommended precision. This paper defines the user attribute item dependency, and proposes a new method for calculating the similarity of user attributes. The ...
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