A survey on trustworthy recommender systems

Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y ** recommender systems
B Lamche, U Adıgüzel, W Wörndl - Joint Workshop on Interfaces and …, 2014 - ceur-ws.org
This work presents a concept featuring interactive explanations for mobile shop**
recommender systems in the domain of fashion. It combines previous research in …

[HTML][HTML] Interactive visualizations of transparent user models for self-actualization: A human-centered design approach

M Guesmi, MA Chatti, A Tayyar, QU Ain… - Multimodal Technologies …, 2022 - mdpi.com
This contribution sheds light on the potential of transparent user models for self-
actualization. It discusses the development of EDUSS, a conceptual framework for self …

Explaining review-based recommendations: Effects of profile transparency, presentation style and user characteristics

DC Hernandez-Bocanegra, J Ziegler - i-com, 2021 - degruyter.com
Providing explanations based on user reviews in recommender systems (RS) may increase
users' perception of transparency or effectiveness. However, little is known about how these …