Journal Article10.1016/J.CHB.2014.12.011
A collaborative user-centered framework for recommending items in Online Social Networks
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TL;DR: This paper proposes a novel collaborative user-centered recommendation approach in which several aspects related to users and available in Online Social Networks are considered and integrated together with items' features and context information within a general framework that can support different applications using proper customizations.
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About: This article is published in Computers in Human Behavior. The article was published on 01 Oct 2015. The article focuses on the topics: Sentiment analysis & Recommender system.
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Yehuda Koren
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