Title: Data integration for customer preference learning
Authors: Kopecký, Michal
Vomlelová, Marta
Vojtáš, Peter
Citation: STEINBERGER, 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.
Issue Date: 2017
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: https://www.zcu.cz/export/sites/zcu/pracoviste/vyd/online/DataAZnalosti2017.pdf
ISBN: 978-80-261-0720-0
Keywords: data získaná z webu;aplikace;data;experimenty;metriky
Keywords in different language: data extracted from web;application;data;experiments;metrics
Abstract in different language: We 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.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Data a znalosti 2017
Data a znalosti 2017

Files in This Item:
File Description SizeFormat 
Vomlelova.pdfPlný text419,76 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/26334

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.