Automatic ranking of information retrieval systems using data fusion

  title={Automatic ranking of information retrieval systems using data fusion},
  author={Rabia Nuray-Turan and Fazli Can},
  journal={Inf. Process. Manage.},
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, we employ new methods for automatic ranking of retrieval systems. In these methods, we merge the retrieval results of multiple systems using various data fusion algorithms, use the top-ranked documents in the merged result as the ‘‘(pseudo) relevant documents,’’ and employ these documents to evaluate and rank the… CONTINUE READING
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