Information Retrieval

, Volume 2, Issue 1, pp 83–88 | Cite as

Incorporating Aspects of Information Use into Relevance Feedback

  • Ian Ruthven


In this paper we look at some of the problems in interacting with best-match retrieval systems. In particular, we examine the areas of interaction, some investigations of the complexity and breadth of interaction and attempts to categorise user's information seeking behaviour. We suggest that one of the difficulties of traditional IR systems in supporting information seeking is the way the information content of documents is represented. We discuss an alternative representation, based on how information is used within documents.

relevance feedback interaction information seeking 


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  1. Bates M(1990) Where should the person stop and the information search interface start? Information, Processing and Management, 26(5):575–591.Google Scholar
  2. Beaulieu M(1997) Experiments with interfaces to support query expansion. Journal of Documentation, 53(1):8–19.Google Scholar
  3. Belkin NJ, Cool C, Stein A and Thiel U (1995) Cases, scripts and information-seeking strategies: On the design of interactive information retrieval systems. Expert Systems with Applications, 9(30):379–395.Google Scholar
  4. Belkin NJ, Koenemann J, Cool C, Park S and Ng KB (1996) Information seeking behavior in new searching environment. In: CoLIS 2, Proceedings of the Second International Conference on Conceptions of Library and Information Science: Integration in Perspective, pp. 403–416, Royal School of Librarianship, Copenhagen.Google Scholar
  5. Denos N, Berrut C and Mechkour M (1997) An image system based on the visualization of system relevance via documents. In: Database and Expert Systems Applications (DEXA 97), 8th International Conference, Toulouse, France.Google Scholar
  6. Ellis D (1989) A behavioural approach to information system design. Journal of Documentation, 45(3):171–212.Google Scholar
  7. Florance V and Marchionini G (1995) Information processing in the context of medical care. In: Proceedings of the 18th Annual International ACMSIGIR Conference on Research and Development in Information Retrieval, pp. 158–163, Seattle, Washington, USA.Google Scholar
  8. Ingwersen P (1992) Information Retrieval Interaction. Taylor-Graham.Google Scholar
  9. Rocchio Jr JJ (1971) Relevance Feedback in Information Retrieval, Prentice-Hall, Ch. 14.Google Scholar
  10. Kuhlthau CC (1993) Principle for uncertainty for information seeking. Journal of Documentation, (4):339–355.Google Scholar
  11. Robertson SE and Sparck Jones K (1976) Relevance weighting of search terms. Journal of the American Society of Information Science, 27:129–146.Google Scholar
  12. Ruthven I and Lalmas M (1999) Selective relevance feedback using term characteristics. In: CoLIS 3 Proceedings of the third international conference on conceptions of library and information science, digital libraries interdisciplinary concepts, challenges and opportunities, pp. 219–232, Dubrounik, Croatia.Google Scholar
  13. Shneiderman B, Byrd D and Croft WB. Sorting out searching: A user-interface framework for text searches. CACM, 41(4):95–98.Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Ian Ruthven
    • 1
  1. 1.Department of Computing ScienceUniversity of GlasgowGlasgowScotland

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