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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| Main Authors: | , , |
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| Format: | Article PeerReviewed |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/278615/1/Winarko_MA.pdf https://repository.ugm.ac.id/278615/ http://beei.org |
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