Recommender Systems as Multistakeholder Environments
Recommender Systems as Multistakeholder Environments
复制标题
作为多利益相关者环境的推荐系统
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
B. Mobasher
中科院分区：
文献类型：
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作者：
Himan Abdollahpouri;R. Burke;B. Mobasher
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，在许多现实世界的应用程序中，用户并不是唯一涉及到的利益相关者。可能有各种个人或组织以不同的方式从提交建议中受益。在本文中，我们将推荐系统重新定义为一个多利益相关者环境，在这个环境中，不同的利益相关者通过提供推荐来服务，我们提出了一种基于效用的方法来评估这种环境中的推荐，该环境能够区分传递给不同利益相关者的效用的分布。
Recommender systems are typically evaluated on their ability to provide items that satisfy the needs and interests of the end user. However, in many real world applications, users are not the only stakeholders involved. There may be a variety of individuals or organizations that benefit in different ways from the delivery of recommendations. In this paper, we re-define the recommender system as a multistakeholder environment in which different stakeholders are served by delivering recommendations, and we suggest a utility-based approach to evaluating recommendations in such an environment that is capable of distinguishing among the distributions of utility delivered to different stakeholders.