A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining

A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining

Nowadays, tourism industry are actively being utilised in generating a state or country income. In order to attract tourist from all over places, information conveyance is important. Traditionally, people travels to certain places based on oral recommendation by families and friends. Now, people ten...

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书目详细资料
主要作者:	Zolhani, Nur Azleen
格式:	Thesis
语言:	English English
出版:	2015
主题:	Q Science (General) QA Mathematics QA76 Computer software
在线阅读:	http://eprints.utem.edu.my/id/eprint/15893/1/A%20COLLABOTIVE%20FILTERING%20RECOMMENDER%20SYSTEM%20FOR%20INFREQUENTLY%20PURCHASED%20PRODUCT%20USING%20SLOPE-ONE%20ALGORITHM%20AND%20ASSOCIATION%20RULE%20MINING%20%2824%20pgs%29.pdf http://eprints.utem.edu.my/id/eprint/15893/2/A%20collaborative%20filtering%20recommender%20system%20for%20infrequently%20purchased%20product%20using%20slope-one%20algorithm%20and%20association%20rule%20mining.pdf
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