Exploration and Explanation: An Interactive Course Recommendation System for University Environments

研究成果: ジャーナルへの寄稿会議記事査読

2 被引用数 (Scopus)


The abundance of courses available in university and the highly personalized curriculum is often overwhelming for students who must select courses relevant to their academic interests. A large body of research in course recommendation systems focuses on optimizing prediction and improving accuracy. However, those systems usually afford little or no user interaction, and little is known about the influence of user-perceived aspects for course recommendations, such as transparency, controllability, and user satisfaction. In this paper, we argue that involving students in the course recommendation process is important, and we present an interactive course recommendation system that provides explanations and allows students to explore courses in a personalized way. A within-subject user study was conducted to evaluate our system and the results show a significant improvement in many user-centric metrics.

ジャーナルCEUR Workshop Proceedings
出版ステータス出版済み - 2021
イベント2021 Joint ACM Conference on Intelligent User Interfaces Workshops, ACMIUI-WS 2021 - College Station, 米国
継続期間: 4月 13 20214月 17 2021

!!!All Science Journal Classification (ASJC) codes

  • コンピュータサイエンス一般


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