Disentangled representation learning for collaborative filtering based on hyperbolic geometry-Reference-Cited by-同舟云学术

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Disentangled representation learning for collaborative filtering based on hyperbolic geometry

Published:2023-12 Issue: Volume:282 Page:111135
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Meicheng,Jiang Min^ORCID,Tao Xuefeng^ORCID,Wang Kang,Kong Jun^ORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. User preference and embedding learning with implicit feedback for recommender systems;Sidana;Data Min. Knowl. Discov.,2021

2. Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive statistical relational learning approach;Yang;Knowl.-Based Syst.,2017

3. A deep reinforcement learning based long-term recommender system;Huang;Knowl.-Based Syst.,2021

4. Graph neural networks in recommender systems: A survey;Wu;ACM Comput. Surv.,2020

5. Graph-ICF: Item-based collaborative filtering based on graph neural network;Liu;Knowl.-Based Syst.,2022

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