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A Review of Applications of Deep Learning Techniques in Recommender Systems
- 1 Chinese University of Hong Kong(Shenzhen)
* Author to whom correspondence should be addressed.
Abstract
Nowadays, with tons of information brought by the development of the Internet, recommender systems are becoming more and more popular, and they are affecting many aspects of people’s daily lives. When people use the search engine, shop on e-commerce platforms or watch videos on video software, they are enjoying the content provided by recommender systems. Deep learning techniques also gained a rapid development recently due to their strengths in dealing with complex tasks. Deep learning techniques have triumphed in many areas. Also, there are more efforts contributed to the deep learning based recommender system. However, very few studies focused on giving a detailed review of deep -learning-based recommender system , and these reviews were usually conducted several years ago, which cannot reflect the latest research trends. Hence, the aim of this paper is to summary the deep learning techniques used in recommender systems. A classification scheme is given, and some possible future directions are pointed out.
Keywords
Deep learning, recommender system, review.
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Cite this article
Liu,Z. (2024). A Review of Applications of Deep Learning Techniques in Recommender Systems. Applied and Computational Engineering,103,95-101.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation
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