Social-aware Matrix Factorization for Recommender Systems
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2013
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We review and categorize early approaches of collaborative filtering, before moving towards social-aware matrix factorization models for rating prediction, which we will theoretically compare to each other and to the state of the art model SVD++. We derive a generic social-aware factorization model and show how to improve runtime complexities of social-aware matrix factorization models in general. Moreover we discuss various trust metrics to exploit social network information and propose the application of PageRank as a new alternative in this context. Finally we provide a practical evaluation of presented approaches.
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WEIDELE, Daniel, 2013. Social-aware Matrix Factorization for Recommender Systems [Master thesis]. Konstanz: Universität KonstanzBibTex
@mastersthesis{Weidele2013Socia-29251, year={2013}, title={Social-aware Matrix Factorization for Recommender Systems}, address={Konstanz}, school={Universität Konstanz}, author={Weidele, Daniel} }
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Konstanz, Universität Konstanz, Masterarbeit/Diplomarbeit, 2013
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