Workshop and Challenge on News Recommender Systems

dc.contributor.authorTavakolifard, Mozhgan
dc.contributor.authorAtle Gulla, Jon
dc.contributor.authorAlmeroth, Kevin C.
dc.contributor.authorHopfgartner, Frank
dc.contributor.authorKille, Benjamin
dc.contributor.authorPlumbaum, Till
dc.contributor.authorLommatzsch, Andreas
dc.contributor.authorBrodt, Torben
dc.contributor.authorBucko, Arthur
dc.contributor.authorHeintz, Tobias
dc.date.accessioned2018-04-16T16:04:42Z
dc.date.available2018-04-16T16:04:42Z
dc.date.issued2013-10-12
dc.description.abstractRecommending news articles entails additional requirements to recommender systems. Such requirements include special con- sumption patterns, fluctuating item collections, and highly sparse user profiles. This workshop (NRS’13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback.en
dc.identifier.isbn978-1-4503-2409-0
dc.identifier.urihttps://depositonce.tu-berlin.de//handle/11303/7582
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6796
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otheralgorithmen
dc.subject.otherexperimentationen
dc.subject.otherrecommender systemsen
dc.subject.othernewsen
dc.titleWorkshop and Challenge on News Recommender Systemsen
dc.typeConference Objecten
dc.type.versionacceptedVersionen
dcterms.bibliographicCitation.doi10.1145/2507157.2508004en
dcterms.bibliographicCitation.originalpublishernameAssociation for Computing Machinery (ACM)en
dcterms.bibliographicCitation.originalpublisherplaceNew York, NY, USAen
dcterms.bibliographicCitation.pageend482en
dcterms.bibliographicCitation.pagestart481en
dcterms.bibliographicCitation.proceedingstitleProceedings of the 7th ACM conference on Recommender systemsen
tub.accessrights.dnbdomainen
tub.affiliationFak. 4 Elektrotechnik und Informatik>Inst. Wirtschaftsinformatik und Quantitative Methoden>FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)de
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)de
tub.affiliation.instituteInst. Wirtschaftsinformatik und Quantitative Methodende
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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