Abstract
In the present, methods of creating and processing a profile are insufficient for achieving personalization information retrieval that reflects the subjective Kansei preference of users. To rectify this insufficiency, we have created a Kansei information processing agent. Our study proposes a Kansei agent for the creation, accumulation and renewal of profiles in personalized retrieval and explores possible contributions to the development of a Kansei-based recommendation system and personalizing service.
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Baek, S., Hwang, M., Kim, P. (2007). Kansei Processing Agent for Personalizing Retrieval. In: Conati, C., McCoy, K., Paliouras, G. (eds) User Modeling 2007. UM 2007. Lecture Notes in Computer Science(), vol 4511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73078-1_51
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DOI: https://doi.org/10.1007/978-3-540-73078-1_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73077-4
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