Multi-Step Critiquing User Interface for Recommender Systems
This work addresses a practical problem for researchers and users in recommendation systems by providing tools to test and improve critiquing approaches, though it is incremental as it builds on existing algorithms.
The paper tackles the lack of user-friendly interfaces for recommender systems with multi-step critiquing, introducing four web interfaces for hotel recommendations that are model-agnostic and adaptable to other domains.
Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for recommender systems with multi-step critiquing have therefore been developed. However, providing a user-friendly interface based on personalized explanations and critiquing has not been addressed in the last decade. In this paper, we introduce four different web interfaces (available under https://lia.epfl.ch/critiquing/) helping users making decisions and finding their ideal item. We have chosen the hotel recommendation domain as a use case even though our approach is trivially adaptable for other domains. Moreover, our system is model-agnostic (for both recommender systems and critiquing models) allowing a great flexibility and further extensions. Our interfaces are above all a useful tool to help research in recommendation with critiquing. They allow to test such systems on a real use case and also to highlight some limitations of these approaches to find solutions to overcome them.