Large-scale Distributive Matrix Collaborative Filtering for Recommender System-Reference-Cited by-同舟云学术

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Large-scale Distributive Matrix Collaborative Filtering for Recommender System

Published:2020-04-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things
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Author:

Ullah Farhan¹,Zhang Bofeng¹,Zou Guobing¹,Ullah Irfan²,Qamar Ali Mustafa³,Durr-e-Nayab ⁴

Affiliation:

1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

2. Department of Electrical Engineering, Chulalongkorn University, Bangkok, Thailand

3. Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia

4. Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar, Pakistan

Publisher

ACM

Reference34 articles.

1. Advances in Collaborative Filtering

2. Neural Graph Collaborative Filtering

3. Enhancing memory-based collaborative filtering for group recommender systems

4. Deep Learning Based Recommender System

5. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance

Cited by 2 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. A Personalized Recommendation Model based on Collaborative Filtering and Federated Learning for Cultural Tourism Attractions in Fujian-Taiwan;2023 International Conference on Software and System Engineering (ICoSSE);2023-04

2. A Comparative Overview of Hybrid Recommender Systems: Review, Challenges, and Prospects;Data Mining and Machine Learning Applications;2022-01-28

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