A Survey of Sequential Pattern Based E-Commerce Recommendation Systems
E-commerce recommendation systems usually deal with massive customer sequential databases, such as historical purchase or click stream sequences. Recommendation systems’ accuracy can be improved if complex sequential patterns of user purchase behavior are learned by integrating sequential patterns o...
Main Authors: | Christie I. Ezeife, Hemni Karlapalepu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/10/467 |
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