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Representation of human preference using folksonomy and the idea called concept

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Abstract

This paper presents an application of the idea called concept for realizing more appropriate representation of human preferences. In the previous study, we proposed the new information recommendation method. Concretely, items for recommendation were selected using the idea of concept, which are impressions of users on items inferred using tagging data of a folksonomy. In the method, characteristics of items were represented by concepts, and it is expected that preferences of users can be represented by concepts as well. However, accuracy of concepts is influential in this approach. In this study, we investigated the validity of the obtained concepts using the previous proposed method, and proposed the improved derivation method of concepts. The effectiveness of the proposed method was verified trough comparison experiments with the previous method.

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Authors and Affiliations

  1. University of Miyazaki, 1-1, Gakuen Kibanadai Nishi, Miyazaki, Japan

    Hisaaki Yamaba, Michihito Tanoue, Kayoko Takatsuka, Naonobu Okazaki & Shigeyuki Tomita

Authors
  1. Hisaaki Yamaba
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  2. Michihito Tanoue
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  3. Kayoko Takatsuka
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  4. Naonobu Okazaki
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  5. Shigeyuki Tomita
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Corresponding author

Correspondence to Hisaaki Yamaba.

Additional information

This work was presented in part at the 19th International Symposium on Artificial Life and Robotics, Beppu, Oita, January 22–24, 2014.

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Yamaba, H., Tanoue, M., Takatsuka, K. et al. Representation of human preference using folksonomy and the idea called concept. Artif Life Robotics 19, 299–304 (2014). https://doi.org/10.1007/s10015-014-0170-0

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  • DOI: https://doi.org/10.1007/s10015-014-0170-0

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