A Survey of Sequential Pattern Based E-Commerce Recommendation Systems

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...

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Bibliographic Details
Main Authors: Christie I. Ezeife, Hemni Karlapalepu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Algorithms
Subjects:
recommendation systems
collaborative filtering
sequential patterns
e-commerce
purchase and click stream
Online Access:https://www.mdpi.com/1999-4893/16/10/467

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https://www.mdpi.com/1999-4893/16/10/467

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