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In this paper we present a new data fusion method in information retrieval, which uses ranking information of resultant documents. Our method is based on the modelling of rank-probability of relevance of documents in resultant document list using logarithmic models. The proposed method is more effective than other data fusion methods which also use ranking information, and is as effective as some...
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this paper we investigate how to model rank-probability of relevance relationship in resultant document list for data fusion since reliable relevance scores are very often unavailable for component results. We apply statistical...
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