KSII Transactions on Internet and Information Systems (TIIS)

  • 제4권2호
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  • Pages.174-190
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  • 2010
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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A Recommender System for Device Sharing Based on Context-Aware and Personalization

  • 투고 : 2010.01.13
  • 심사 : 2010.03.19
  • 발행 : 2010.04.29
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초록

In ubiquitous computing, invisible devices and software are connected to one another to provide convenient services to users [1][2]. Users hope to obtain a personalized service which is composed of customized devices among sharable devices in a ubiquitous smart space (which is called USS in this paper). However, the situations of each user are different and user preferences also are various. Although users request the same service in the same USS, the most suitable devices for composing the service are different for each user. For these user requirements, this paper proposes a device recommender system which infers and recommends customized devices for composing a user required service. The objective of this paper is the development of the systems for recommending devices through context-aware inference in peer-to-peer environments. For this goal, this paper considers the context and user preference. Also I implement a prototype system and test performance on the real ubiquitous mobile object (UMO).

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참고문헌

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  1. Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms vol.7, pp.5, 2013, https://doi.org/10.3837/tiis.2013.05.019
  2. Privacy-Preserving Two-Party Collaborative Filtering on Overlapped Ratings vol.8, pp.8, 2010, https://doi.org/10.3837/tiis.2014.08.022
  3. Resource recommender system based on psychological user type indicator vol.10, pp.1, 2010, https://doi.org/10.1007/s12652-017-0583-4