MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation-Reference-Cited by-同舟云学术

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MKNBL: Joint multi-channel knowledge-aware network and broad learning for sparse knowledge graph-based recommendation

Published:2024-03 Issue: Volume:575 Page:127277
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Li-e^ORCID,Qi Yuelan^ORCID,Sun Zhigang^ORCID,Li Xianxian

Publisher

Elsevier BV

Reference52 articles.

1. A new item similarity based on α-divergence for collaborative filtering in sparse data;Wang;Expert Syst. Appl.,2021

2. A new user similarity model to improve the accuracy of collaborative filtering;Liu;Knowl.-Based Syst.,2014

3. Attention-based dynamic user modeling and deep collaborative filtering recommendation;Wang;Expert Syst. Appl.,2022

4. Knowledge graph enhanced neural collaborative recommendation;Sang;Expert Syst. Appl.,2021

5. EDMF: Efficient deep matrix factorization with review feature learning for industrial recommender system;Liu;IEEE Trans. Ind. Inform.,2021

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1. Intelligent maritime question-answering and recommendation system based on maritime vessel activity knowledge graph;Ocean Engineering;2024-11

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