Fusing User Preferences and Spatiotemporal Information for Sequential Recommendation

Fusing User Preferences and Spatiotemporal Information for Sequential Recommendation

At present, the research on sequence recommendation mainly focuses on using the historical interaction data between users and items to mine their relationship, so as to predict the next interaction between users and items, then generate the personalized recommendation. Spatiotemporal information is...

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Bibliographic Details
Main Authors: Sizhe Yin, Yang Xia, Yujing Liu, Songhe Han, Zijie Ouyang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Recommendation algorithm
preference learning
spatiotemporal information
sequential recommendation
Online Access:https://ieeexplore.ieee.org/document/9866057/

Internet

https://ieeexplore.ieee.org/document/9866057/

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