Advertisement

A Formal Framework for Combining Evidence in an Information Retrieval Domain

  • Josephine Griffith
  • Colm O’Riordan
Conference paper
  • 629 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2773)

Abstract

This paper presents a formal framework for the combination of multiple sources of evidence in an information retrieval domain. Previous approaches which have included additional information and evidence have primarily done so in an ad-hoc manner. In the proposed framework, collaborative and content information regarding both the document data and the user data is formally specified. Furthermore, the notion of user sessions is included in the framework. A sample instantiation of the framework is provided.

Keywords

Information Retrieval Relevance Feedback Retrieval Model Collaborative Filter User Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York (1999)Google Scholar
  2. 2.
    Balabanovic, M., Shoham, Y.: Fab: Content-based, collaborative recommendation. Communications of the ACM 40(3), 66–72 (1997)CrossRefGoogle Scholar
  3. 3.
    Basu, C., Hirsh, H., Cohen, W.: Recommendation as classification: Using social and content-based information in recommendation. In: Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI 1998), pp. 714–721. AAAI Press, Menlo Park (1998)Google Scholar
  4. 4.
    Claypool, M., Gokhale, A., Miranda, T., Murnikov, P., Netes, D., Sartin, M.: Combining content-based and collaborative filters in an online newspaper. In: Online Proceedings of the ACM SIGIR 1999 Workshop on Recommender Systems: Algorithms and Evaluation, University of California, Berkeley (1999)Google Scholar
  5. 5.
    Croft, W.B.: Combining approaches to information retrieval. Kluwer Academic Publishers, Dordrecht (2000)Google Scholar
  6. 6.
    Dominich, S.: Mathematical Foundations of Information Retrieval. Kluwer Academic Publishers, Dordrecht (2001)CrossRefzbMATHGoogle Scholar
  7. 7.
    Fisk, D.: An application of social filtering to movie recommendation. In: Nwana, H.S., Azarmi, N. (eds.) Software Agents and Soft Computing. Springer, Heidelberg (1997)Google Scholar
  8. 8.
    Griffith, J., O’Riordan, C.: Non-traditional collaborative filtering techniques. Technical report, Dept. of Information Technology, NUI, Galway, Ireland (2002)Google Scholar
  9. 9.
    Jin, R., Dumais, S.: Probabilistic combination of content and links. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 402–403 (2001)Google Scholar
  10. 10.
    Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of ACM 1994 Conference on CSCW, pp. 175–186. Chapel Hill (1994)Google Scholar
  11. 11.
    C. O’ Riordan and H. Sorensen. Multi-agent based collaborative filtering. In M. Klusch et al. (eds) Cooperative Information Agents 1999. Lecture Notes in Artificial Intelligence (1999) Google Scholar
  12. 12.
    Ruthven, I., Lalmas, M.: Selective relevance feedback using term characteristics. In: Proceedings of the 3rd International Conference on Coceptions of Library Information Science, CoLIS 3 (1999)Google Scholar
  13. 13.
    Turtle, H.R., Croft, W.B.: Evaluation of an inference network-based retrieval model. ACM Trans. on Info. Systems 3 (1991)Google Scholar
  14. 14.
    van Rijsbergen, C.J.: Towards an information logic. In: ACM SIGIR Conference on Research and Development in Information Retrieval (1989)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Josephine Griffith
    • 1
  • Colm O’Riordan
    • 1
  1. 1.Dept. of Information TechnologyNational University of IrelandGalwayIreland

Personalised recommendations