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A visual exploration of the orderliness of TREC relevance judgments

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  • Mark Rorvig

Abstract

TREC topic specification statements 1–50 are converted to a similarity matrix, scaled, and plotted. Two close topics and two distant topics are selected from within the topic visual field. Subsequent scaling and visualization of documents associated with the close topics reveals a strong mixing of documents from both topic sets. Scaling and visualization of documents associated with the distant topics reveals a bifurcated distribution of documents from both topic sets. Relevant documents in both cases present near the center of both visualizations. Scaling and visualization of documents by multidimensional scaling using a maximum likelihood estimation method is shown to accurately model token similarity relationships among topic specification statements. The implications of these findings for prior critical arguments regarding IR test collections generally, and TREC specifically, by other scholars is examined.

Suggested Citation

  • Mark Rorvig, 1999. "A visual exploration of the orderliness of TREC relevance judgments," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(8), pages 652-660.
    • Handle: RePEc:bla:jamest:v:50:y:1999:i:8:p:652-660
    DOI: 10.1002/(SICI)1097-4571(1999)50:83.0.CO;2-S
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