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Item recommendation based on context-aware model for personalized u-healthcare service

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Abstract

A personalized service in the ubiquitous environment is to provide services or items, which reflect personal tastes, attitudes, and contexts. It is impossible to reflect the context information generated in u-healthcare environments due to the existing recommendation system performing the recommendation using the information directly input by users and application usage record only. This study develops a context-aware model using the context information provided by the context information model. The study applies it to the extraction of the missing value in a collaborative filtering process. The context-aware model reflects the information that selects items by users according to the appropriate context using the C-HMM and provides it to users. The solution of the missing value in the preference significantly affects the recommendation accuracy in a preference based item supply method. Thus, this study developed a new collaborative filtering for ubiquitous environments by reflecting the missing preference value and reflecting it to the collaborative filtering using the context-aware model. Also, the validity of this method will be evaluated by applying it to menu services in u-healthcare services.

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Acknowledgment

This research was supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology. (No. 2011-0008934).

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Authors and Affiliations

  1. U-Healthcare Department, BIT Computer Co., Ltd, Seocho-Dong, Seocho-Gu, Seoul, Korea

    Jonghun Kim

  2. Department of Industrial Security, Kyonggi University, Seoul, South Korea

    Daesung Lee

  3. School of Computer Information Engineering, Sangji University, Wonju, South Korea

    Kyung-Yong Chung

Authors
  1. Jonghun Kim
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  2. Daesung Lee
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  3. Kyung-Yong Chung
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Corresponding author

Correspondence to Kyung-Yong Chung.

Additional information

This paper is significantly revised from an earlier version presented at the International Conference on Information Science and Applications 2011.

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Kim, J., Lee, D. & Chung, KY. Item recommendation based on context-aware model for personalized u-healthcare service. Multimed Tools Appl 71, 855–872 (2014). https://doi.org/10.1007/s11042-011-0920-0

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  • DOI: https://doi.org/10.1007/s11042-011-0920-0

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