Proceedings of the Fuzzy System Symposium
31st Fuzzy System Symposium
Session ID : TA3-4
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Interactive Recommendation System
*Leonardoken OriharaTomonori HashiyamaShunichi Tano
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Abstract
The performance of recommendation systems is mainly measured by the accuracy how their results meet to the users' preference. User satisfaction is another index to measure their performance. In this paper, we will try to improve the users' feeling of self-determination to the recommendation system by using 2 approaches. In the first approach, we explain the reason why the information was recommended. In the second approach, we show visually the position of the recommended information by mapping on the evaluation axis determined apriori. In these approach, the user can get a lot of self-determination feeling and we will see the system improvement in raising the users' satisfaction.
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© 2015 Japan Society for Fuzzy Theory and Intelligent Informatics
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