Data integration for customer preference learning

dc.contributor.authorKopecký, Michal
dc.contributor.authorVomlelová, Marta
dc.contributor.authorVojtáš, Peter
dc.contributor.editorSteinberger, Josef
dc.contributor.editorZíma, Martin
dc.contributor.editorFiala, Dalibor
dc.contributor.editorDostal, Martin
dc.contributor.editorNykl, Michal
dc.date.accessioned2017-10-09T08:50:53Z
dc.date.available2017-10-09T08:50:53Z
dc.date.issued2017
dc.description.abstract-translatedWe describe the process and challenges of integration of movie data from Movie Lens, Netflix and RecSys Challenge 2014 with IMDB and DBPe-dia. Thanks of this integration we can enhance information by semantic data and improve prediction of customer preferences and recommendation. These data were collected in different situation by different methodologies. We want to use these data to be able to extend and further enhance our machine learning approaches developed for individual datasets to other datasets.en
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationSTEINBERGER, Josef ed.; ZÍMA, Martin ed.; FIALA, Dalibor ed.; DOSTAL, Martin ed.; NYKL, Michal ed. Data a znalosti 2017: sborník konference, Plzeň, Hotel Angelo 5. - 6. října 2017. 1. vyd. Plzeň: Západočeská univerzita v Plzni, 2017, s. 120-124. ISBN 978-80-261-0720-0.cs
dc.identifier.isbn978-80-261-0720-0
dc.identifier.urihttp://hdl.handle.net/11025/26334
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectdata získaná z webucs
dc.subjectaplikacecs
dc.subjectdatacs
dc.subjectexperimentycs
dc.subjectmetrikycs
dc.subject.translateddata extracted from weben
dc.subject.translatedapplicationen
dc.subject.translateddataen
dc.subject.translatedexperimentsen
dc.subject.translatedmetricsen
dc.titleData integration for customer preference learningen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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