Improved Collaborative Filtering Algorithm using Topic Model

Improved Collaborative Filtering Algorithm using Topic Model

Collaborative filtering algorithms make use of interactions rates between users and items for generating recommendations. Similarity among users or items is calculated based on rating mostly, without considering explicit properties of users or items involved. In this paper, we proposed collaborative...

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Bibliographic Details
Main Authors:	Liu Na, Lu Ying, Tang Xiao-Jun, Wang Hai-Wen, Xiao Peng, Li Ming-Xia
Format:	Article
Language:	English
Published:	EDP Sciences 2016-01-01
Series:	ITM Web of Conferences
Online Access:	http://dx.doi.org/10.1051/itmconf/20160705008

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