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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主要作者: Zolhani, Nur Azleen
格式: Thesis
语言:English
English
出版: 2015
主题:
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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