ITM-Rec: An Open Data Set for Educational Recommender Systems

TL;DR

This paper introduces ITM-Rec, a comprehensive open data set for educational recommender systems that includes rich contextual and multi-criteria information to facilitate advanced research.

Contribution

It provides the first open educational data set with enriched information like contexts, multi-criteria preferences, and group data, supporting diverse RS development.

Findings

Enables development of context-aware educational RS

Supports multi-criteria preference modeling

Facilitates research on group recommendation in education

Abstract

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.