Recommendation in multistakeholder environments
Recommendation in multistakeholder environments
复制标题
多利益相关方环境中的建议
DOI：
10.1145/3298689.3346973
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Yongfeng Zhang
中科院分区：
文献类型：
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作者：
R. Burke;Himan Abdollahpouri;E. Malthouse;K. Thai;Yongfeng Zhang
在研究实践中，推荐系统通常根据其提供满足最终用户需求和兴趣的项目的能力进行评估。然而，在许多推荐领域中，为其生成推荐的用户并不是推荐结果中的唯一利益相关者。例如，在某些推荐应用程序中，利益相关者之间的公平和平衡很重要;在其他应用程序中，实现在市场中推广新卖家等目标可能很重要。这种多利益相关者的环境提出了独特的挑战，推荐系统的设计和评估，这些挑战是本次研讨会的重点。
In research practice, recommender systems are typically evaluated on their ability to provide items that satisfy the needs and interests of the end user. However, in many recommendation domains, the user for whom recommendations are generated is not the only stakeholder in the recommendation outcome. For example, fairness and balance across stakeholders is important in some recommendation applications; achieving a goal such as promoting new sellers in a marketplace might be important in others. Such multistakeholder environments present unique challenges for recommender system design and evaluation, and these challenges were the focus of this workshop.