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Hits hits TREC: exploring IR evaluation results with network analysis

Published: 23 July 2007 Publication History

Abstract

We propose a novel method of analysing data gathered fromTREC or similar information retrieval evaluation experiments. We define two normalized versions of average precision, that we use to construct a weighted bipartite graph of TREC systems and topics. We analyze the meaning of well known - and somewhat generalized - indicators fromsocial network analysis on the Systems-Topics graph. We apply this method to an analysis of TREC 8 data; amongthe results, we find that authority measures systems performance, that hubness of topics reveals that some topics are better than others at distinguishing more or less effective systems, that with current measures a system that wants to be effective in TREC needs to be effective on easy topics, and that by using different effectiveness measures this is no longer the case.

References

[1]
M. Agosti, M. Bacchin, N. Ferro, and M. Melucci. Improving the automatic retrieval of text documents. In Proceedings of the 3rd CLEF Workshop, volume 2785 of LNCS, pages 279--290, 2003.
[2]
C. Buckley and E. Voorhees. Evaluating evaluation measure stability. In 23rd SIGIR, pages 33--40, 2000.
[3]
S. Chakrabarti. Mining the Web. Morgan Kaufmann, 2003.
[4]
G. V. Cormack and T. R. Lynam. Statistical precision of information retrieval evaluation. In 29th SIGIR, pages 533--540, 2006.
[5]
J. Kleinberg. Authoritative sources in a hyperlinked environment. J. of the ACM, 46(5):604--632, 1999.
[6]
M. Levene. An Introduction to Search Engines and Web Navigation. Addison Wesley, 2006.
[7]
L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank Citation Ranking: Bringing Order to the Web, 1998. http://dbpubs.stanford.edu:8090/pub/1999--66.
[8]
S. Robertson. On GMAP - and other transformations. In 13th CIKM, pages 78--83, 2006.
[9]
M. Sanderson and J. Zobel. Information retrieval system evaluation: effort, sensitivity, and reliability. In 28th SIGIR, pages 162--169, 2005. http://doi.acm.org/10.1145/1076034.1076064.
[10]
I. Soboroff, C. Nicholas, and P. Cahan. Ranking retrieval systems without relevance judgments. In 24th SIGIR, pages 66--73, 2001.
[11]
TREC Common Evaluation Measures, 2005. http://trec.nist.gov/pubs/trec14/appendices/ CE.MEASURES05.pdf (Last visit: Jan. 2007).
[12]
Text REtrieval Conference (TREC). http://trec.nist.gov/ (Last visit: Jan. 2007).
[13]
E. Voorhees and C. Buckley. The effect of topic set size on retrieval experiment error. In 25th SIGIR, pages 316--323, 2002.
[14]
E. M. Voorhees. Overview of the TREC 2005 Robust Retrieval Track. In TREC 2005 Proceedings, 2005.
[15]
E. M. Voorhees and D. K. Harman. TREC - Experiment and Evaluation in Information Retrieval. MIT Press, 2005.
[16]
S. Wasserman and K. Faust. Social Network Analysis. Cambridge University Press, Cambridge, UK, 1994.

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  • (2023)Selective Query Processing: A Risk-Sensitive Selection of Search ConfigurationsACM Transactions on Information Systems10.1145/360847442:1(1-35)Online publication date: 21-Aug-2023
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  • (2023)How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication MethodsProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614916(1960-1970)Online publication date: 21-Oct-2023
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    cover image ACM Conferences
    SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
    July 2007
    946 pages
    ISBN:9781595935977
    DOI:10.1145/1277741
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 23 July 2007

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    Author Tags

    1. IR evaluation
    2. Kleinberg's HITS algorithm
    3. TREC
    4. social network analysis

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    SIGIR07: The 30th Annual International SIGIR Conference
    July 23 - 27, 2007
    Amsterdam, The Netherlands

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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

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    • (2023)Selective Query Processing: A Risk-Sensitive Selection of Search ConfigurationsACM Transactions on Information Systems10.1145/360847442:1(1-35)Online publication date: 21-Aug-2023
    • (2023)How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance JudgmentsACM Transactions on Information Systems10.1145/359720142:1(1-26)Online publication date: 22-May-2023
    • (2023)How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication MethodsProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614916(1960-1970)Online publication date: 21-Oct-2023
    • (2022)Analytics Methods to Understand Information Retrieval Effectiveness—A SurveyMathematics10.3390/math1012213510:12(2135)Online publication date: 19-Jun-2022
    • (2022)On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluationInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10268858:6Online publication date: 22-Apr-2022
    • (2021)Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive ApproachProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482422(1335-1345)Online publication date: 26-Oct-2021
    • (2020)Estimating Topic Difficulty Using Normalized Discounted Cumulated GainProceedings of the 29th ACM International Conference on Information & Knowledge Management10.1145/3340531.3412109(2033-2036)Online publication date: 19-Oct-2020
    • (2019)Improving the Accuracy of System Performance Estimation by Using ShardsProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3338062(805-814)Online publication date: 18-Jul-2019
    • (2019)On Topic Difficulty in IR EvaluationProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331279(909-912)Online publication date: 18-Jul-2019
    • (2019)Fewer topics? A million topics? Both?! On topics subsets in test collectionsInformation Retrieval Journal10.1007/s10791-019-09357-wOnline publication date: 8-May-2019
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