Data-Driven Recommendations in a Public Service Organisation
Data-Driven Recommendations in a Public Service Organisation
复制标题
公共服务组织中的数据驱动建议
DOI：
10.1145/3345002.3349286
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
D. Penna
中科院分区：
文献类型：
--
作者：
A. Piscopo;Maria Panteli;D. Penna
英国广播公司是世界领先的广播公司之一，为不同的观众制作了大量的内容。数据驱动的推荐是一种成功的方法，可以提高用户参与度，提供量身定制的内容和个性化的体验。然而，人们对这些措施对多样性的影响和对现有偏见的强化表示关切。解决这些问题对BBC尤为重要，因为BBC的价值观包括信任、多样性和公正性。这份立场文件列出了BBC开发自动推荐系统所遵循的策略，介绍了我们创建准确，公平和负责任的推荐系统的方法。
The BBC is one of the world's leading broadcasters, producing a large amount of content for different audiences. Data-driven recommendations are a successful approach to increase user engagement providing tailored content and personalising their experience. However, concerns have been raised with regards to their effects on diversity and reinforcement of existing bias. Addressing these concerns is especially important for the BBC, whose values include trust, diversity, and impartiality. This position paper lays out the strategy followed by the BBC to develop automated recommendation systems, presenting our approach to create accurate, fair, and responsible recommendation systems.