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A Study of the Assessment of Relevance for the INEX’02 Test Collection

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Advances in Information Retrieval (ECIR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2997))

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Abstract

We investigate possible assessment trends and inconsistencies within the collected relevance assessments of the INEX’02 test collection in order to provide a critical analysis of the employed relevance criterion and assessment procedure for the evaluation of content-oriented XML retrieval approaches.

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References

  1. Voorhees, E.M., Harman, D.K. (eds.): The tenth Text Retrieval Conference (TREC-2001), Gaithersburg, MD, USA. NIST (2002)

    Google Scholar 

  2. Harter, S.P.: Variations in Relevance Assessments and the Measurement of Retrieval Effectiveness. Journal of the American Society for Information Science 47(1), 37–47 (1996)

    Article  Google Scholar 

  3. Saracevic, T.: http://www.scils.rutgers.edu/~tefko/Courses/610/Lectures/

  4. Vakkari, P., Hakala, N.: Changes in Relevance Criteria and Problem Stages in Task Performance. Journal of Documentation 56(5), 540–562 (2000)

    Article  Google Scholar 

  5. Schamber, L.: Relevance and Information Behaviour. Annual Review of Information Science and Technology (ARIST) 29, 3–48 (1994)

    Google Scholar 

  6. Borlund, P.: The Concept of Relevance in IR. Journal of the American Society for Information Science 54(10), 913–925 (2003)

    Article  Google Scholar 

  7. Cosijn, E., Ingwersen, P.: Dimensions of Relevance. Information Processing and Management 36, 533–550 (2000)

    Article  Google Scholar 

  8. Saracevic, T.: Relevance Reconsidered. In: Proceedings of the 2nd International Conference on Conceptions of Library and Information Science (COLIS), Copenhagen, pp. 201–218 (1996)

    Google Scholar 

  9. Mizzaro, S.: Relevance: the whole history. Journal of the American Society for Information Science 48(9), 810–832 (1997)

    Article  Google Scholar 

  10. Tang, R., Shaw, W.M., Vevea, J.L.: Towards the identification of the optimal numbers of relevance categories. Journal of the American Society for Information Science 50(3), 254–264 (1999)

    Article  Google Scholar 

  11. Kekäläinen, J., Järvelin, K.: Using graded relevance assessments in IR evaluation. Journal of the American Society for Information Science 53(13), 1120–1129 (2002)

    Article  Google Scholar 

  12. Voorhees, E.: Evaluation by highly relevant documents. In: Proceedings of the 24th ACM-SIGIR conference on research and development in information retrieval, New York, pp. 74–82 (2001)

    Google Scholar 

  13. Vorhees, E.M.: Variations in Relevance Judgments and the Measurement of Retrieval Effectiveness. In: Proceedings of the 21st ACM-SIGIR conference on research and development in information retrieval, Melbourne, pp. 315–323 (1998)

    Google Scholar 

  14. Fuhr, N., Lalmas, M., Kazai, G., Gövert, N. (eds.): Proceedings of the first workshop of the INitiative for the Evaluation of XML Retrieval (INEX), Dagstuhl. ERCIM workshop proceedings (2003)

    Google Scholar 

  15. Järvelin, K., Kekäläinen, J.: IR evaluation methods for retrieving highly relevant documents. In: Proceedings of the 23rd ACM-SIGIR conference on research and development in information retrieval, Athens, pp. 41–48 (2000)

    Google Scholar 

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Kazai, G., Masood, S., Lalmas, M. (2004). A Study of the Assessment of Relevance for the INEX’02 Test Collection. In: McDonald, S., Tait, J. (eds) Advances in Information Retrieval. ECIR 2004. Lecture Notes in Computer Science, vol 2997. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24752-4_22

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  • DOI: https://doi.org/10.1007/978-3-540-24752-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21382-6

  • Online ISBN: 978-3-540-24752-4

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