A Generic Framework for Learning Explicit and Implicit User-Item Couplings in Recommendation

Author:

Zhang Quangui,Wang LiORCID,Meng XiangfuORCID,Xu Keda,Hu Jiayan

Funder

Natural Science Foundation of Liaoning Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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. Personalized Multi‐User‐Based Movie and Video Recommender System;Supervised and Unsupervised Data Engineering for Multimedia Data;2024-04

2. Towards Context Aware and Age-Based Book Recommendation System using Machine Learning for Young Readers;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

3. Movie Recommendation using Collaborative filtering and Content-based Filtering Approach;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

4. IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm;Expert Systems with Applications;2022-11

5. An Efficient Deep Learning Approach for Collaborative Filtering Recommender System;Procedia Computer Science;2020

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