User needs for explanations of recommendations: In-depth analyses of the role of item domain and personal characteristics

TNT Tran, A Felfernig, VM Le, TMN Chau… - Proceedings of the 31st …, 2023 - dl.acm.org
Explanations can be provided with different goals, such as clarifying how the system works,
how well the recommended item meets the user's preferences, and how an explanation …

An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission

LM De Campos, JM Fernández-Luna… - User Modeling and User …, 2024 - Springer
Explainable artificial intelligence is becoming increasingly important in new artificial
intelligence developments since it enables users to understand and consequently trust …

[PDF][PDF] Visualizing Explainable Touristic Recommendations: An Interactive Approach

S Neubig, D Cappey, N Gehring, L Göhl… - ENTER e-Tourism …, 2024 - library.oapen.org
Personalized recommendations have played a vital role in tourism, serving various
purposes, ranging from an improved visitor experience to addressing sustainability issues …

A Topic-based Approach for Explainable Content Recommender Systems: A Case Study in Journal Recommendation

LM de Campos, JM Fernández Luna, JF Huete Guadix - 2024 - digibug.ugr.es
Explainable artificial intelligence is becoming increasingly important in new artificial
intelligence developments since it enables users to under-stand and consequently trust …

[PDF][PDF] Make Recommendations Understandable: Ways to Enhance the Effectiveness of Explanations for Recommender Systems on E-Commerce Websites

F Noè, S Mao, S Isakov, X Hong - researchgate.net
Recommender systems have become widely applied to enhance user experience on
various platforms including e-commerce websites, streaming services, and social media …