Improving conversational recommender systems via multi-preference modelling and knowledge-enhanced-Reference-Cited by-同舟云学术

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Improving conversational recommender systems via multi-preference modelling and knowledge-enhanced

Published:2024-02 Issue: Volume:286 Page:111361
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Chengyang^ORCID,Huang Xianying^ORCID,An Jiahao^ORCID,Zou Shihao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference46 articles.

1. Decoupled side information fusion for sequential recommendation;Xie,2022

2. ProFairRec: Provider fairness-aware news recommendation;Qi,2022

3. Towards universal cross-domain recommendation;Cao,2023

4. Time enhanced graph neural networks for session-based recommendation;Tang;Knowl.-Based Syst.,2022

5. Multi-task learning for collaborative filtering;Long;Int. J. Mach. Learn. Cybern.,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Link prediction for knowledge graphs based on extended relational graph attention networks;Expert Systems with Applications;2025-01

2. Multi-aspect Knowledge-enhanced Hypergraph Attention Network for Conversational Recommendation Systems;Knowledge-Based Systems;2024-09

3. Understanding user intent modeling for conversational recommender systems: a systematic literature review;User Modeling and User-Adapted Interaction;2024-06-06

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