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- W3109187688 abstract "Recommender system is one of the strategies carried out by e-commerce to increase their users' satisfaction. In this paper, we implement sequence pattern mining for recommender system in e-commerce domain. We perform the PrefixSpan algorithm to mine the frequent patterns. The frequent patterns generate the suitable rules for the recommender system. The experiments reported in this paper utilize the datasets from two different marketplaces in Indonesia. The best performance of recommendation model is obtained when applying the rules derived from the product category with minimum confidence of 0.5." @default.
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- W3109187688 date "2020-10-17" @default.
- W3109187688 modified "2023-09-24" @default.
- W3109187688 title "Sequential Pattern Mining for e-Commerce Recommender System" @default.
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- W3109187688 doi "https://doi.org/10.1109/icacsis51025.2020.9263192" @default.
- W3109187688 hasPublicationYear "2020" @default.
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