A Community-Driven Deep Collaborative Approach for Recommender Systems

Author:

Bourhim Sofia1ORCID,Benhiba Lamia1,Idrissi M. A. Janati1

Affiliation:

1. Ecole Nationale Supérieure d’Informatique et d’Analyse des Systèmes (ENSIAS), Mohammed V University, Rabat, Morocco

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 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. DFI-DGCF: A Graph-Based Recommendation Approach for Drug-Food Interactions;Studies in Computational Intelligence;2024

2. Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review;Neural Computing and Applications;2023-10-05

3. Improving performance of recommendation systems using sentiment patterns of user;International Journal of Information Technology;2023-08-26

4. CoDFi-DL: a hybrid recommender system combining enhanced collaborative and demographic filtering based on deep learning;The Journal of Supercomputing;2023-07-10

5. ICCVAE: Item Concept Causal Variational Auto-Encoder for top-n recommendation;2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP);2023-04-21

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