Searched for: author%3A%22Verbert%2C+Katrien%22
(1 - 5 of 5)
document
Jin, Yucheng (author), Htun, Nyi Nyi (author), Tintarev, N. (author), Verbert, Katrien (author)
Music preferences are likely to depend on contextual characteristics such as location and activity. However, most recommender systems do not allow users to adapt recommendations to their current context. We therefore built ContextPlay, a context-aware music recommender that enables user control for both contextual characteristics and music...
conference paper 2019
document
Jin, Yucheng (author), Tintarev, N. (author), Htun, Nyi Nyi (author), Verbert, Katrien (author)
Music recommender systems typically offer a “one-size-fits-all” approach with the same user controls and visualizations for all users. However, the effectiveness of interactive interfaces for music recommender systems is likely to be affected by individual differences. In this paper, we first conduct a comprehensive literature review of...
journal article 2019
document
Jin, Yucheng (author), Tintarev, N. (author), Verbert, Katrien (author)
When recommendations become increasingly personalized, users are often presented with a narrower range of content. To mitigate this issue, diversity-enhanced user interfaces for recommender systems have in the past found to be effective in increasing overall user satisfaction with recommendations. However, users may have different requirements...
conference paper 2018
document
Jin, Yucheng (author), Tintarev, N. (author), Verbert, Katrien (author)
Previous research has found that enabling users to control the recommendation process increases user satisfaction. However, providing additional controls also increases cognitive load, and different users have different needs for control. Therefore, in this study, we investigate the effect of two personal characteristics: musical sophistication...
conference paper 2018
document
Bodily, Robert (author), Kay, Judy (author), Aleven, Vincent (author), Jivet, I. (author), Davis, D.J. (author), Xhakaj, Franceska (author), Verbert, Katrien (author)
This paper aims to link student facing Learning Analytics Dashboards (LADs) to the corpus of research on Open Learner Models (OLMs), as both have similar goals. We conducted a systematic review of literature on OLMs and compared the results with a previously conducted review of LADs for learners in terms of (i) data use and modelling, (ii)...
conference paper 2018
Searched for: author%3A%22Verbert%2C+Katrien%22
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