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,出现了许多有前景的系统,如上下文感知的推荐系统,多标准推荐系统和群组推荐系统。然而,由于教育数据集中缺少上下文和多标准等信息,教育领域可能无法从这些发展中受益。在本文中,我们宣布并发布了一个用于教育推荐系统的开放数据集。该数据集不仅包含传统的评级条目,还包括丰富的信息,如上下文、多标准用户偏好、群组组成和偏好等。它提供了一个测试平台,使得更多的机会来开发和检验各种教育推荐系统。