Self-Attentive Subset Learning over a Set-Based Preference in Recommendation

Self-Attentive Subset Learning over a Set-Based Preference in Recommendation

Recommender systems that learn user preference from item-level feedback (provided to individual items) have been extensively studied. Considering the risk of privacy exposure, learning from set-level feedback (provided to sets of items) has been demonstrated to be a better way, since set-level feedb...

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Bibliographic Details
Main Authors: Kunjia Liu, Yifan Chen, Jiuyang Tang, Hongbin Huang, Lihua Liu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
recommender systems
set-based preference learning
subset selection
user behavior modeling
Online Access:https://www.mdpi.com/2076-3417/13/3/1683

Internet

https://www.mdpi.com/2076-3417/13/3/1683

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