Multi-Step Critiquing User Interface for Recommender Systems
| Autor: | Boi Faltings, Diana Andreea Petrescu, Diego Antognini |
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| Předmět: |
FOS: Computer and information sciences
Flexibility (engineering) Computer science Interface (Java) interactive machine learning multi-step critiquing Recommender system Computer Science - Information Retrieval Domain (software engineering) Perceived quality Human–computer interaction User interface recommender systems explanation Information Retrieval (cs.IR) |
| Zdroj: | RecSys |
| Popis: | 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. Comment: Accepted at RecSys 2021. 5 pages, 7 figures |
| Databáze: | OpenAIRE |
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