A Neural Inference of User Social Interest for Item Recommendation

A Neural Inference of User Social Interest for Item Recommendation

Abstract User-generated content is daily produced in social media, as such user interest summarization is critical to distill salient information from massive information for recommendation tasks. While the interested messages (e.g., tags or posts) from a single user are usually sparse becoming a bo...

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Bibliographic Details
Main Authors: Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong
Format: Article
Language:English
Published: SpringerOpen 2023-08-01
Series:Data Science and Engineering
Subjects:
Neural variational inference
User interest summarization
Item recommendation
Online Access:https://doi.org/10.1007/s41019-023-00225-8

Internet

https://doi.org/10.1007/s41019-023-00225-8

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