Density-based hybrid recommender system combining demographic methods and collaborative filtering

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Main Author: Moghaddam, Siavash Ghodsi
Format: Thesis
Published: 2011
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id my-utm-ep.26467
record_format uketd_dc
spelling my-utm-ep.264672017-07-06T00:10:26Z Density-based hybrid recommender system combining demographic methods and collaborative filtering 2011-06 Moghaddam, Siavash Ghodsi Unspecified 2011-06 Thesis http://eprints.utm.my/id/eprint/26467/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Density-based+hybrid+recommender+system+combining+demographic+methods+and+collaborative+filtering&te= masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Moghaddam, Siavash Ghodsi
Density-based hybrid recommender system combining demographic methods and collaborative filtering
description
format Thesis
qualification_level Master's degree
author Moghaddam, Siavash Ghodsi
author_facet Moghaddam, Siavash Ghodsi
author_sort Moghaddam, Siavash Ghodsi
title Density-based hybrid recommender system combining demographic methods and collaborative filtering
title_short Density-based hybrid recommender system combining demographic methods and collaborative filtering
title_full Density-based hybrid recommender system combining demographic methods and collaborative filtering
title_fullStr Density-based hybrid recommender system combining demographic methods and collaborative filtering
title_full_unstemmed Density-based hybrid recommender system combining demographic methods and collaborative filtering
title_sort density-based hybrid recommender system combining demographic methods and collaborative filtering
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2011
_version_ 1747815483511406592