Modeling the Score Distributions of Relevant and Non-relevant Documents

  title={Modeling the Score Distributions of Relevant and Non-relevant Documents},
  author={Evangelos Kanoulas and Virgil Pavlu and Keshi Dai and Javed A. Aslam},
Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the relevant documents’ scores by a mixture of Gaussians and modeling the non-relevant scores by a Gamma distribution. Applying variational inference we automatically trade-off the goodness-of-fit with the complexity of the model. We test our model on traditional retrieval functions and actual search engines submitted to TREC… CONTINUE READING

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Modeling score distributions in information retrieval

Information Retrieval • 2010
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