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Recent Developments in Recommender Systems: A Survey [Review Article]
IEEE Computational Intelligence Magazine ( IF 9 ) Pub Date : 2024-04-08 , DOI: 10.1109/mci.2024.3363984
Yang Li 1 , Kangbo Liu 1 , Ranjan Satapathy 2 , Suhang Wang 3 , Erik Cambria 4
Affiliation  

In this technical survey, the latest advancements in the field of recommender systems are comprehensively summarized. The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems. It starts with a comprehensive summary of the main taxonomy of recommender systems, including personalized and group recommender systems. In addition, the survey analyzes the robustness, data bias, and fairness issues in recommender systems, summarizing the evaluation metrics used to assess the performance of these systems. Finally, it provides insights into the latest trends in the development of recommender systems and highlights the new directions for future research in the field.

中文翻译:

推荐系统的最新发展:一项调查[评论文章]

本次技术综述全面总结了推荐系统领域的最新进展。本研究的目的是概述该领域当前的最新技术,并强调推荐系统发展的最新趋势。首先全面总结了推荐系统的主要分类,包括个性化和群体推荐系统。此外,调查还分析了推荐系统的稳健性、数据偏差和公平性问题,总结了用于评估这些系统性能的评估指标。最后,它提供了对推荐系统发展的最新趋势的见解,并强调了该领域未来研究的新方向。
更新日期:2024-04-08
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