论文标题
搜索和推荐方面的公平方面
Facets of Fairness in Search and Recommendation
论文作者
论文摘要
最近的一些作品强调了搜索和推荐系统如何沿不同维度表现出偏见。抵消这种偏见并在搜索中带来一定程度的公平性，不仅对于创造更平衡的环境，它考虑了相关性和多样性，而且还为内容消费者和内容生产商提供了更可持续的方向。这本简短的论文研究了一些最近的作品，以定义相关性，多样性和相关概念。然后，它重点是解释各种建议环境中新兴的公平概念。在此过程中，本文介绍了各种措施之间的比较并突出了合同，以及我们的概念和评估框架中的差距。
Several recent works have highlighted how search and recommender systems exhibit bias along different dimensions. Counteracting this bias and bringing a certain amount of fairness in search is crucial to not only creating a more balanced environment that considers relevance and diversity but also providing a more sustainable way forward for both content consumers and content producers. This short paper examines some of the recent works to define relevance, diversity, and related concepts. Then, it focuses on explaining the emerging concept of fairness in various recommendation settings. In doing so, this paper presents comparisons and highlights contracts among various measures, and gaps in our conceptual and evaluative frameworks.
