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Goal-based hybrid filtering for user-to-user personalized recommendation

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Main Authors: Chughtai, Muhammad Waseem, Selamat, Ali, Ghani, Imran
Format: Article
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/47873/
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id my.utm.47873
record_format eprints
spelling my.utm.478732017-08-14T01:17:39Z http://eprints.utm.my/id/eprint/47873/ Goal-based hybrid filtering for user-to-user personalized recommendation Chughtai, Muhammad Waseem Selamat, Ali Ghani, Imran TK Electrical engineering. Electronics Nuclear engineering 2013 Article PeerReviewed Chughtai, Muhammad Waseem and Selamat, Ali and Ghani, Imran (2013) Goal-based hybrid filtering for user-to-user personalized recommendation. International Journal of Electrical and Computer Engineering (IJECE), 3 (3). pp. 329-336. ISSN 2088-8708
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chughtai, Muhammad Waseem
Selamat, Ali
Ghani, Imran
Goal-based hybrid filtering for user-to-user personalized recommendation
format Article
author Chughtai, Muhammad Waseem
Selamat, Ali
Ghani, Imran
author_facet Chughtai, Muhammad Waseem
Selamat, Ali
Ghani, Imran
author_sort Chughtai, Muhammad Waseem
title Goal-based hybrid filtering for user-to-user personalized recommendation
title_short Goal-based hybrid filtering for user-to-user personalized recommendation
title_full Goal-based hybrid filtering for user-to-user personalized recommendation
title_fullStr Goal-based hybrid filtering for user-to-user personalized recommendation
title_full_unstemmed Goal-based hybrid filtering for user-to-user personalized recommendation
title_sort goal-based hybrid filtering for user-to-user personalized recommendation
publishDate 2013
url http://eprints.utm.my/id/eprint/47873/
_version_ 1643652394887675904
score 13.188404

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