Mixed-initiative Recommender Systems: Towards a Next Generation of Recommender Systems through User Involvement KU Leuven
Recommender systems have been ubiquitous in our daily lives. However, most existing recommenders do not explain the logic or justification for the resulting recommendations. This black box nature may hinder users from accepting the recommendation due to low user understanding and trust. To address this issue, several researchers have proposed an approach that leverages interactive visualization techniques to improve transparency and ...