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Personalized Search Using ODP-based User Profiles Created from User Bookmark

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Abstract

When searching for intended pages on the Internet, users often have a hard time to find the pages because the pages do not always come at the higher rank of searched results. The Personalized Search is a promising approach to solve this problem. In the Personalized Search, User Profiles (UPs in short) that represent interests of the users, are well used and often created from personal documents of the users. This paper proposes (1) a method for making UPs based on Open Directory Project (ODP) and shows (2) a Personalized Search system using the UPs made from Book Marks. Some of experimental results illustrate the validity of our method for making the UPs, and show the precision enhancement of this system.

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References

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Author information

Authors and Affiliations

  1. Department of Intelligent Systems, Kyushu University, 744 Motooka, Nishiku, Fukuoka, 819-0395, Japan

    Tetsuya Oishi, Yoshiaki Kambara, Tsunenori Mine, Ryuzo Hasegawa, Hiroshi Fujita & Miyuki Koshimura

Authors
  1. Tetsuya Oishi

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  2. Yoshiaki Kambara

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  3. Tsunenori Mine

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  4. Ryuzo Hasegawa

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  5. Hiroshi Fujita

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  6. Miyuki Koshimura

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Editor information

Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Asahidai 1-1, 923-12292, Nomi, Japan

    Tu-Bao Ho

  2. Department of Computer Science & Technology, Nanjing University, 22 Hankou Road, 210093, China

    Zhi-Hua Zhou

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© 2008 Springer-Verlag Berlin Heidelberg

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Oishi, T., Kambara, Y., Mine, T., Hasegawa, R., Fujita, H., Koshimura, M. (2008). Personalized Search Using ODP-based User Profiles Created from User Bookmark. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_78

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