Diversity and novelty in web search, recommender systems and data streams

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dc.citation.epage680en_US
dc.citation.spage679en_US
dc.contributor.authorSantos, R. L. T.en_US
dc.contributor.authorCastells, P.en_US
dc.contributor.authorAltingovde, I. S.en_US
dc.contributor.authorCan, Fazlıen_US
dc.coverage.spatialNew York, USA
dc.date.accessioned2016-02-08T12:02:10Z
dc.date.available2016-02-08T12:02:10Z
dc.date.issued2014-02en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: February 24-28, 2014
dc.descriptionConference name: WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining
dc.description.abstractThis tutorial aims to provide a unifying account of current research on diversity and novelty in the domains of web search, recommender systems, and data stream processing.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:02:10Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014en
dc.identifier.doi10.1145/2556195.2556199en_US
dc.identifier.urihttp://hdl.handle.net/11693/27807en_US
dc.language.isoEnglishen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttps://doi.org/10.1145/2556195.2556199en_US
dc.source.title7th ACM International Conference on Web Search and Data Miningen_US
dc.subjectAmbiguityen_US
dc.subjectNoveltyen_US
dc.subjectRedundancyen_US
dc.subjectRelevanceen_US
dc.subjectData communication systemsen_US
dc.subjectRecommender systemsen_US
dc.subjectRedundancyen_US
dc.subjectWebsitesen_US
dc.subjectAmbiguityen_US
dc.subjectData streamen_US
dc.subjectData stream processingen_US
dc.subjectDiversityen_US
dc.subjectWeb searchesen_US
dc.subjectData miningen_US
dc.titleDiversity and novelty in web search, recommender systems and data streamsen_US
dc.typeConference Paperen_US

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