Clustering approach based on feature weighting for recommendation system in movie domain
The advancement of the Internet has brought us into a world that represents a huge amount of information items such as movies, web pages, etc. with fluctuating quality. As a result of this massive world of items, people get confused and the question “Which one should I select?” arises in their minds...
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Format: | Thesis |
Language: | English |
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2013
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Online Access: | http://eprints.utm.my/id/eprint/35827/5/AmirHosseinNabizadehMFSKSM2013.pdf http://eprints.utm.my/id/eprint/35827/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69183?site_name=Restricted Repository |
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