为什么设计选择在推荐系统中很重要

IF 23.9 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Nature Machine Intelligence Pub Date : 2025-06-23 DOI:10.1038/s42256-025-01043-5

Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen

引用次数: 0

摘要

在RecSys ' 24挑战中，参与者使用大规模的丹麦数据集处理新闻推荐。尽管表现最好的模型获得了相似的准确性分数，但它们在准确度之外的指标上产生了明显不同的结果，这突出了对推荐系统的规范一致性进行进一步研究的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Why design choices matter in recommender systems

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Why design choices matter in recommender systems

In the RecSys ’24 Challenge, participants tackled news recommendations using a large-scale Danish dataset. Although the top-performing models achieved similar accuracy scores, they produced markedly different results on beyond-accuracy metrics, highlighting the need for further research into the normative alignment of recommender systems.

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来源期刊

Nature Machine Intelligence Multiple-

CiteScore

36.90

自引率

2.10%

发文量

127

期刊介绍： Nature Machine Intelligence is a distinguished publication that presents original research and reviews on various topics in machine learning, robotics, and AI. Our focus extends beyond these fields, exploring their profound impact on other scientific disciplines, as well as societal and industrial aspects. We recognize limitless possibilities wherein machine intelligence can augment human capabilities and knowledge in domains like scientific exploration, healthcare, medical diagnostics, and the creation of safe and sustainable cities, transportation, and agriculture. Simultaneously, we acknowledge the emergence of ethical, social, and legal concerns due to the rapid pace of advancements. To foster interdisciplinary discussions on these far-reaching implications, Nature Machine Intelligence serves as a platform for dialogue facilitated through Comments, News Features, News & Views articles, and Correspondence. Our goal is to encourage a comprehensive examination of these subjects. Similar to all Nature-branded journals, Nature Machine Intelligence operates under the guidance of a team of skilled editors. We adhere to a fair and rigorous peer-review process, ensuring high standards of copy-editing and production, swift publication, and editorial independence.