KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

A Recommender System for Device Sharing Based on Context-Aware and Personalization

  • Received : 2010.01.13
  • Accepted : 2010.03.19
  • Published : 2010.04.29
Download PDF
⟨ Previous Next ⟩

Abstract

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).

Keywords

References

  1. K. Romer, T. Schoch, F. Mattern and T. Dubendorfer, "Smart Identification Frameworks for Ubiquitous Computing Application," in Proc. of PERCOM 2003, 2003.
  2. M. Weiser, "Some computer science issues in ubiquitous computing," Communications of the ACM, vo.36, no.7, pp.75-84, 2003.
  3. M. C. Lee, H. K. Jang, S. Y. Kim, Y. S. Paik, S. E. Jin, S. Lee, C. Narayanaswami, M.T.Raghunath and M.C.Rosu, "Celadon: Infrastructure for Device Symbiosis," in Proc. of UbiComp, 2005.
  4. Y. M. Jeong, J. H. Kim, J. J. Ko, S. W. Lee, M. H. Kim, and J. C. Choi, "Resource Collaboration Framework based on Context Awareness in Ubiquitous Computing Environment," in Proc. of ICUCT 2008, 2008.
  5. G. Bhatti, Z. Sahinoglu, K. A. Peker, J. Guo, and F. Matsubara, "A TV-Centric Home Network to Provide a Unified Access to UPnP and PLC Domains," in Proc.of IWNA, 2002.
  6. JINI, http://www.jini.org.
  7. M.C. Lee, H.K. Jang, Y.S. Paik, S.E. Jin, and S. Lee, "Ubiquitous device collaboration infrastructure: Celadon," in Proc.of SEUS-WCCIA, 2006.
  8. RDF Primer, W3C Recommendation, February 2004. http://www.w3.org/TR/2004/REC-rdf-primer-20040210.
  9. SPARQL Query Language for RDF, W3C Recommendation, Jan. 2008. http://www.w3.org/TR/2008/REC-rdf-sparql-query-20080115.
  10. JENA2: A Semantic Web Framework. http://jena.sourceforge.net
  11. JESS, the Rule Engine for the JavaTM Platform. http://herzberg.ca.sandia.gov/jess.
  12. T. Strang, C.L-Popien, "A Context Modeling Survey," in Proc. of UbiComp, 2004.
  13. T. Gruber, "A Translation Approach to Portable Ontology Specification," Journal of Knowledge Acquisition, vo.5, no.2, pp.199-200, 1993. https://doi.org/10.1006/knac.1993.1008
  14. E. J. Ko, H. J. Lee and J. W. Lee, "Ontology-Based Context Modeling and Reasoning for U-HealthCare," IEICE Transactions on Information and Systems, vol.E90-D, no.8, pp.1262-1270, 2007. https://doi.org/10.1093/ietisy/e90-d.8.1262
  15. RDFS (RDF Vocabulary Description Language 1.0: RDF Schema), W3C Recommendation, February 2004. http://www.w3.org/TR/2004/REC-rdf-schema-20040210.
  16. DAML. http://www.daml.org.
  17. OWL Web Ontology Language Overview, W3C Recommendation, February 2005. http://www.w3.org/TR/2004/REC-owl-features-20040210.
  18. D. K. Shin, D. G. Shin, Q. C. Nguyen, and S. Y. Park, "Real-Time Tracking of Human Location and Motion using Cameras in a Ubiquitous Smart Home," KIIS Transactions on Internet and Information Systems, vo.3, no.1, pp.84 - 95, 2009. https://doi.org/10.3837/tiis.2009.01.004

Cited by

  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