Skip to main content
SpringerLink
Log in

ItemSpider: Social Networking Service That Extracts Personal Character from Individual’s Book Information

  • Conference paper
Knowledge Acquisition: Approaches, Algorithms and Applications (PKAW 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5465))

Included in the following conference series:

  • 627 Accesses

Abstract

In this study, we develop a social networking service that extracts personal character from a user’s book information. This system can share a user’s personal book collection with other users and support the formation of a new community by providing the user’s friends with a link to his/her book information. We define the user attribute as a vector comprising the book’s details (e.g., author and publisher). For a set of users having the same books, a user clustering experiment was conducted on the basis of the user attribute value. In the experiment, users having the same books were observed to be classified in a group.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adar, E., Weld, D.S., Bershad, B.N., Gribble, S.S.: Why We Search: Visualizing and Predicting User Behavior. In: Proceedings of the 16th international Conference on World Wide Web, May 08-12 (2007)

    Google Scholar 

  2. Hu, J., Zeng, H.-J., Li, H., Niu, C., Chen, Z.: Demographic Prediction Based on User’s Browsing Behavior. In: Proceedings of the 16th International Conference on World Wide Web, May 08-12 (2007)

    Google Scholar 

  3. Linden, G., Smith, B., York, J.: Amazon.com Recommendations: Item-to-Item Collaborative Filtering. IEEE Internet Computing 07, 76–80 (2003)

    Article  Google Scholar 

  4. Mei, Q., Ling, X., Wondra, M., Su, H., Zhai, C.: Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs. In: Proceedings of the 16th International Conference on World Wide Web, May 08-12 (2007)

    Google Scholar 

  5. Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)

    MATH  Google Scholar 

  6. Singla, P., Richardson, M.: Yes, There is a Correlation: From Social Networks to Personal Behavior on the Web. In: Proceeding of the 17th International Conference on World Wide Web, April 21-25 (2008)

    Google Scholar 

  7. Delicious Library, http://www.delicious-monster.com/

  8. Booklog, http://booklog.jp/

  9. Google Account, http://www.google.com/accounts/

  10. Amazon Web Service, http://aws.amazon.com/

  11. WEKA, http://www.cs.waikato.ac.nz/ml/weka/

Download references

Author information

Authors and Affiliations

  1. Graduate School of Science and Technology, Tokyo University of Science Noda, Chiba, 278-8510, Japan

    Tetsuya Tsukamoto

  2. Research Institute for Science and Technology, Japan

    Hiroyuki Nishiyama & Hayato Ohwada

Authors
  1. Tetsuya Tsukamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hiroyuki Nishiyama
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hayato Ohwada
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computing Department, Division of Information and Communication Sciences, Macquarie University, NSW, 2109, Sydney, Australia

    Debbie Richards

  2. School of Computing ad Information Systems, University of Tasmania , Launceton, TAS 7250, Tasmania, Australia

    Byeong-Ho Kang

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tsukamoto, T., Nishiyama, H., Ohwada, H. (2009). ItemSpider: Social Networking Service That Extracts Personal Character from Individual’s Book Information. In: Richards, D., Kang, BH. (eds) Knowledge Acquisition: Approaches, Algorithms and Applications. PKAW 2008. Lecture Notes in Computer Science(), vol 5465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01715-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01715-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01714-8

  • Online ISBN: 978-3-642-01715-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation