A hybrid recommender system based on customer behavior and
transaction data using generalized sequential pattern algorithm

A hybrid recommender system based on customer behavior and transaction data using generalized sequential pattern algorithm

In the future, the quality of product suggestions in online retailers will influence client purchasing decisions. Unqualified product suggestions can result in two sorts of errors: false negatives and false positives. Customers may not return to the online store as a result of this. By merging sale...

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書目詳細資料
Main Authors:	Somya, Ramos, Winarko, Edi, Priyanta, Sigit
格式:	Article PeerReviewed
語言:	English
出版:	Institute of Advanced Engineering and Science (IAES) 2022
主題:	Information and Computing Sciences Mathematics and Applied Sciences
在線閱讀:	https://repository.ugm.ac.id/278615/1/Winarko_MA.pdf https://repository.ugm.ac.id/278615/ http://beei.org
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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