Advertisement

Journal of Intelligent Information Systems

, Volume 8, Issue 2, pp 155–165 | Cite as

Information Filtering: A New Two-Phase Model Using Stereotypic User Profiling

  • Bracha Shapira
  • Uri Hanani
  • Adi Raveh
  • Peretz Shoval
Article

Abstract

Computer users often experience the “lost in informationspace” syndrome. Information filtering suggests a solution based onrestricting the amount of information made available to users. Thisstudy suggests an advanced model for information filtering which isbased on a two-phase filtering process. The user profiling in themodel is constructed on the basis of the user's areas of interestand on sociological parameters about him that are known to thesystem. The system maintains a database of known stereotypes thatincludes rules on their information retrieval needs and habits.During the filtering process, the system relates the user to one ormore stereotypes and operates the appropriate stereotypic rules.

information retrieval information filtering browsing user-profile user modeling stereotypes 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Belkin, N.J. and Croft, W.B. (1992). Information Filtering and Information Retieval: Two Sides of the Same Coin? Communication of the ACM, 35(12), 29–38.Google Scholar
  2. Brajnik, G., Guida, G., and Tasso, C. (1990). User Modeling in Expert Man-Machine Interfaces: A Case Study in Intelligent Information Retrieval, IEEE Transactions on Systems, Man and Cybernetics, 20(1), 166–185.Google Scholar
  3. Chin, D.N. (1989). KNOME: Modeling What the User Knows in UC. In Alfred Kobsa and Wolfgang Wahster (Eds.), User Models in Dialog Systems. Berlin: Springer-Verlag, pp. 74–107.Google Scholar
  4. Finin, W. (1989). GUMS: A General User Modeling Shell. In Alfred Kobsa and Wolfgang Wahster (Eds.), User Models in Dialog Systems. Berlin: Springer-Verlag, pp. 411–430.Google Scholar
  5. Foltz, P.W. and Dumais, S.T. (1992). Personalized Information Delivery: An Analysis of Information Filtering Methods, Communication of the ACM, 35(12), 51–60.Google Scholar
  6. Malone, T., Grant, K., Turbak, F., Brobst, S., and Cohen, M. (1987). Intelligent Information Sharing Systems, Communication of the ACM, 30(5), 390–402.Google Scholar
  7. McCleary, H. (1994). Filtered Information Services, A Revolutionary New Product or a New Marketing Strategy? Online, 4(18), 33–42.Google Scholar
  8. Morita, M. and Shinoda, Y. (1994). Information Filtering Based on User Behavior Analysis and Best Match Retrieval, ACM-SIGIR, pp. 272–281.Google Scholar
  9. Rich, E. (1983). Artificial Intelligence, McGraw-Hill Series in AI. New-York, pp. 361–387.Google Scholar
  10. Rich, E. (1989). Stereotypes and User Modeling. In Alfred Kobsa and Wolfgang Wahster (Eds.), User Models in Dialog Systems. Berlin: Springer-Verlag, Chap. 2, pp. 75–85.Google Scholar
  11. Salton, G. and McGill, W.J. (1983). Introduction to Modern Information Retrieval. New-York: Mcgraw-Hill.Google Scholar
  12. Shapira, B., Shoval, P., Raveh, A., and Hanani, U. (1996). Hypertext Browsing: A New Model for Information Filtering Based on User Profiles and Data Clustering, Online & CDROM Review, 20(1), 3–10.Google Scholar
  13. Shardanand, U. (1994). Social Information Filtering for Music Recomendation, MIT EECS M.Eng. thesis. also TR-94-04, Learning and CommonSense Group, MIT Media Laboratory.Google Scholar
  14. Stadnyk, I. and Kass, R. (1992). Modeling Users’ Interests in Information Filters, Communication of the ACM, 35(12), 49–50.Google Scholar

Copyright information

© Kluwer Academic Publishers 1997

Authors and Affiliations

  • Bracha Shapira
    • 1
  • Uri Hanani
    • 2
  • Adi Raveh
    • 3
  • Peretz Shoval
    • 4
  1. 1.Dept. of Industrial Engineering and ManagementBen-Gurion University of the NegevBeer-ShevaIsrael
  2. 2.Department of Information StudiesBar-Ilan UniversityRamat-GanIsrael
  3. 3.School of Business AdministrationHebrew University of JerusalemIsrael
  4. 4.Dept. of Industrial Engineering and ManagementBen-Gurion University of the NegevBeer-ShevaIsrael

Personalised recommendations