Research on Intelligent Recommendation Model for Application Systems
Authors: 
Shenjie Gao, Bowei Duan, Ping Zhou, Xijing Li, Xin JingAuthors Info & Claims
Shenjie Gao, Bowei Duan, Ping Zhou, Xijing Li, Xin JingAuthors Info & ClaimsPages 73 - 77
Abstract
A recommendation system is an artificial intelligence technology that advises users on things or projects that they may be interested in. In the design of a recommendation system, in order to fully protect users' privacy, this paper proposes a neural collaborative filtering recommendation model based on federated learning FedAvg algorithm, and verifies the recommendation performance of the proposed model using Movie Lens-100K as the dataset. Experimental results have shown that, The recommendation model proposed in this article can achieve good recommendation performance while protecting user privacy and security.
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- Research on Intelligent Recommendation Model for Application Systems
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Published In
October 2023
446 pages
ISBN:9798400716683
DOI:10.1145/3640912
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 February 2024
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- Research
- Refereed limited
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CNML 2023
CNML 2023: 2023 International Conference on Communication Network and Machine Learning
October 27 - 28, 2023
Zhengzhou, China
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