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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ISO 690WEIDELE, Daniel, 2013. Social-aware Matrix Factorization for Recommender Systems [Master thesis]. Konstanz: Universität Konstanz
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@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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