Social-aware Matrix Factorization for Recommender Systems

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WEIDELE, Daniel, 2013. Social-aware Matrix Factorization for Recommender Systems

@mastersthesis{Weidele2013Socia-29251, title={Social-aware Matrix Factorization for Recommender Systems}, year={2013}, address={Konstanz}, school={Universität Konstanz}, author={Weidele, Daniel} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/29251"> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <dc:language>eng</dc:language> <dcterms:issued>2013</dcterms:issued> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-11-14T09:33:54Z</dcterms:available> <dc:creator>Weidele, Daniel</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29251"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-11-14T09:33:54Z</dc:date> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <dc:contributor>Weidele, Daniel</dc:contributor> <dcterms:title>Social-aware Matrix Factorization for Recommender Systems</dcterms:title> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 14.11.2014 (Informationen über die Zugriffsstatistik)

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