Skip to main content
Log in

Information Filtering Using User's Context on Browsing in Hypertext

  • Published:
User Modeling and User-Adapted Interaction Aims and scope Submit manuscript

Abstract

Browsing is one of the most popular ways to gather information in database with hypertext structure. In order to support a user to browse, modeling of the user's interests is one of the most important issues. Although there are several promising methods to infer the interests from the user's browsing behavior, they assume that the interests are consistent during the browsing. However, the user's interests are often strongly dependent on the local context of the browsing. This paper describes a method to model the user's shifting interests from the browsing history. An information filtering method using the model of the interests has been implemented. We call it ‘context-sensitive filtering’. The results of an experimental evaluation, by real users' browsing for an encyclopedia in CD-ROM format, are also reported.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Armstrong, R., Freitag, D., Joachims, T., Mitchell, T.: 1995, Web Watcher: A learning apprentice for the world wide Web. Online working notes of AAAI symposium on information gathering from distributed, heterogeneous environments (available at http://WWW.isi.edu/sims/knoblock/sss95/info-gathering.html).

  • Balabanovic, M. and Shoham, Y.: 1995, Learning information retrieval agents: Experiments with automated Web browsing. Online working notes of AAAI spring symposium on information gathering from distributed, heterogeneous environments, (available at http://WWW.isi.edu/sims/knoblock/sss95/infogathering.html).

  • Beaumont, I. and Brusilovsky, P.: 1995, Adaptive educational hypermedia: From ideas to real systems. Proc. of EDMEDIA' 95-World Conference on Educational Multimedia and Hypermedia, 93-98.

  • Belkin, N. J. and Croft, W. B.: 1992, Information filtering and information retrieval: Two sides of the same coin?. CACM, 35(12) 29-38.

    Google Scholar 

  • Brusilovsky, P.: 1996, Methods and techniques of adaptive hypermedia. User modeling and useradaptive interaction, 6, 87-129.

    Article  Google Scholar 

  • Carmel, E., Crawford, S. and Chen, H.: 1992, Browsing in hypertext: A cognitive study, IEEE Trans. on Systems, Man, and Cybernetics, 22(5), 865-883.

    Article  Google Scholar 

  • Hachiya, K., Hirashima, T., Kasihara, A. and Toyoda, J.: 1995, Hypertext navigation using user's context. Proc. of the 9th Annual Conference of JSAI, 605-608 (in Japanese).

  • Hendler, J.: 1996, Intelligent agents: Where AI meets information technology. IEEE Expert, 11(6), 20-23.

    Article  Google Scholar 

  • Hirashima, T., Hachiya, K., Kasihara, A., and Toyoda, J.: 1996, A support facility for browsing in large scale hypertext using user's context. Proc. of the 10th Annual Conference of JSAI, 541-544 (in Japanese).

  • Holte, R. C. and Drummond, C.: 1994, A learning apprentice for browsing. Proc. of AAAI Spring Symposium on Software Agents.

  • Horn, R. E.: 1990, Mapping hypertext. Information Mapping (1990).

  • Huang, X. and McCalla, G. I.: 1992, Instructional planning using focus of attention, Proc. of ITS'92, 443-450.

  • Kaplan, C., Fenwick, J. and Chen, J.: 1993, Adaptive hypertext navigation based on user goals and context. User modeling and user-adapted interaction, 3(3), 193-220.

    Article  Google Scholar 

  • Knoblock, C. and Levy, A. (eds.): 1995, Online working notes of the AAAI spring symposium series on information gathering from distributed, heterogeneous environments. (http://www.isi.edu/sims/knoblock/sss95/proceedings.html).

  • Kono, Y., Ikeda, M. and Mizoguchi, R.: 1994, THEMIS: A nonmonotonic inductive student modeling system, Journal of Artificial Intelligence in Education, 5(3), 371-413.

    Google Scholar 

  • Lieberman, H.: 1995, Letizia: An agent that assists Web browsing. Proc. of IJCAI95, 924-929.

  • Lieberman, H.: 1997, Autonomous interface agents. Proc. of CHI97 (http://lieber.www.media.mit.–edu/ people/ lieber/Lieberary/Letizia/LetiziaIntro.html).

  • McKnight, C., Dillon, A., and Richardson, J.: 1993, Hypertext: a psychological perspective. Ellis Horwood.

  • Maes, P.: 1994, Agents that reduce work and information overload. CACM, 37(7), 3140.

    Google Scholar 

  • Mathe, N. and Chen, J.: 1996, User-centered indexing for adaptive information access. User modeling and useradapted interaction, 6, 225-261.

    Article  Google Scholar 

  • Micarelli, A. and Sciarrone, F.: A case-based toolbox for guided hypermedia navigation, Proc. of UM96, 129-136.

  • Pinkerton, B.: 1994, Finding what people want: Experiences with the WebCrawler. Proc. of the Second International WWW Conference (available as http://info.webcrawler.com/bp/WebCrawler.ps.gz). Salder, L. M.: 1993, Is browsing really instructional? - The use of hypertext as a supportive device in incidental learning. Proc. of EDMEDIA94, 451-456.

  • Schneiderman, B.: 1993, Designing the user interface. Addison-Wesley Publishing.

  • Vassileva, J.: 1996, A task-centered approach for user modeling in a hypermedia office documentation system, User modeling and user-adapted interaction, 6, 185-223.

    Article  Google Scholar 

  • Winiwarter, W., Hofferer, M. and Knaus, B.: 1997, CIFS - a cognitive information filtering system with evolutionary adaptation, submitted.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hirashima, T., Hachiya, K., Kashihara, A. et al. Information Filtering Using User's Context on Browsing in Hypertext. User Modeling and User-Adapted Interaction 7, 239–256 (1997). https://doi.org/10.1023/A:1008239629258

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008239629258

Navigation