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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| Format: | Thesis |
| Language: | English English |
| Published: |
2015
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| Online Access: | 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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