KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation

KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation

Abstract User preference information plays an important role in knowledge graph-based recommender systems, which is reflected in users having different preferences for each entity–relation pair in the knowledge graph. Existing approaches have not modeled this fine-grained user preference feature wel...

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Bibliographic Details
Main Authors: Di Wu, Mingjing Tang, Shu Zhang, Ao You, Wei Gao
Format: Article
Language:English
Published: Springer 2023-05-01
Series:Complex & Intelligent Systems
Subjects:
Knowledge graph
Recommender system
Deep reinforcement learning
Graph neural network
Online Access:https://doi.org/10.1007/s40747-023-01083-7

Internet

https://doi.org/10.1007/s40747-023-01083-7

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