Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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A Multi-Agent MicroBlog Behavior based User Preference Profile Construction Approach

  • Kim, Jee-Hyun (Department of Computer Software, Seoil University) ;
  • Cho, Young-Im (Department of Computer Science, The University of Suwon)
  • Received : 2015.01.13
  • Accepted : 2015.01.27
  • Published : 2015.01.31
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Abstract

Nowadays, the user-centric application based web 2.0 has replaced the web 1.0. The users gain and provide information by interactive network applications. As a result, traditional approaches that only extract and analyze users' local document operating behavior and network browsing behavior to build the users' preference profile cannot fully reflect their interests. Therefore this paper proposed a preference analysis and indicating approach based on the users' communication information from MicroBlog, such as reading, forwarding and @ behavior, and using the improved PersonalRank method to analyze the importance of a user to other users in the network and based on the users' communication behavior to update the weight of the items in the user preference. Simulation result shows that our proposed method outperforms the ontology model, TREC model, and the category model in terms of 11SPR value.

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References

  1. Moukas A., "Information Discovery and Filtering Using a Multiagent Evolving Ecosystem," Applied Artificial Intelligence, An International Journal, Vol.11. pp.437-457, 1997. https://doi.org/10.1080/088395197118127
  2. Salton G. and McGill M., "Introduction to Modern Information Retrieval," McGraw-Hill, Inc. New York, NY, USA., 1983.
  3. Deerwester S., Dumais S., Furnas G., Landauer T.K. and Harshman R., "Indexing by Latent Semantic Analysis," Journal of the American Society for Information Science, Vol.41. No.6. pp.391-407, 1990. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
  4. Liu F., Yu C. and Meng W., "Personalized web search by mapping user queries to categories," In Proceedings the eleventh international conference on Information and knowledge management, pp.558-565, 2002.
  5. Trajkova J. and Gauch S., "Improving Ontology-based User Profiles," Proc. of RIAO 2004, University of Avignon (Vaucluse), pp.380-389, 2004.
  6. Katifori V., Poggi A., Scannapieco M., Catarci T. and Y. Ioannidis., "OntoPIM: how to rely on a personal ontology for Personal Information Management," Semantic Desktop Workshop of CEUR Workshop Proceedings, Vol.175, 2005.
  7. Gauch S., Chaffee J. and Pretschner A., "Ontology Based Personalized Search," In Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp.391-398, 1999.
  8. Chaffee J. and Gauch S., "Personal Ontologies For Web Navigation," In Proceedings of the 9th International Conference On Information Knowledge Management (CIKM), pp.227-234, 2000.
  9. Trajkova J. and Gauch S., "Improving Ontology-based User Profiles," Proc. of RIAO 2004, University of Avignon (Vaucluse) , pp.380-389, 2004.
  10. Gauch S., Speretta M. and Pretschner A., "Ontology-Based User Profiles for Personalized Search," Integrated Series in Information Systems, Vol.14. pp.665-694, 2007. https://doi.org/10.1007/978-0-387-37022-4_24
  11. Shi Y.C, Meng X.W, Zhang Y.J, "Adaptive learning approach of contextual mobile user preferences," Journal of software, Vol. 23, No.10. pp. 2533-2549, 2012. https://doi.org/10.3724/SP.J.1001.2012.04228
  12. Wang J.H, He L.J, Zhang W, "Research of user preference based information dissemination in microblog," Computer engineer and science, Vol.35, No.3, pp. 140-144, 2013.
  13. Youn-Hee Kim, Jee-Hyun Kim, "The Scheme for Path-based Query Processing on the Semantic Data," Journal of the Korea Society of Computer and Information, Vol. 14, No.10, pp.31-41, 2009.
  14. Youn-Hee Kim, Jee-Hyun Kim, "A Query Processing Method for Hierarchical Structured e-Learning System," Journal of the Korea Society of Computer and Information, Vol.16, No.3, pp.189-201, 2011. https://doi.org/10.9708/jksci.2011.16.3.189