With the development of recommender systems (RS), several promising systems have emerged, such as context-aware RS, multi-criteria RS, and group RS. However, the education domain may not benefit from these developments due to missing information, such as contexts and multiple criteria, in educational data sets. In this paper, we announce and release an open data set for educational recommender systems. This data set includes not only traditional rating entries, but also enriched information, e.g., contexts, user preferences in multiple criteria, group compositions and preferences, etc. It provides a testbed and enables more opportunities to develop and examine various educational recommender systems.

翻译：随着推荐系统的发展，涌现出若干前景广阔的系统类型，如情境感知推荐系统、多准则推荐系统及群组推荐系统。然而，由于教育领域数据集普遍缺失情境信息、多准则评分等关键要素，教育领域可能难以从这些技术进展中获益。本文发布并开放了一个面向教育推荐系统的数据集。该数据集不仅包含传统评分条目，还融入了丰富的辅助信息，例如情境要素、用户多准则偏好、群组构成及其偏好等。该数据集为开发和评测各类教育推荐系统提供了测试平台与更多可能性。