Social-aware Matrix Factorization for Recommender Systems

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:8dd5580a60d29c6d8e9e561bf1bbfbcb

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

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

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" 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:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29251/3/Weidele_0-259317.pdf"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-11-14T09:33:54Z</dcterms:available> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/29251/3/Weidele_0-259317.pdf"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <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> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:title>Social-aware Matrix Factorization for Recommender Systems</dcterms:title> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 14.11.2014 (Informationen über die Zugriffsstatistik)

Weidele_0-259317.pdf 499

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto