2012 | OriginalPaper | Buchkapitel
Ranking-Based Fusion
verfasst von : Shengli Wu
Erschienen in: Data Fusion in Information Retrieval
Verlag: Springer Berlin Heidelberg
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In information retrieval, retrieval results are usually presented as a ranked list of documents for a given information need. Thus ranking-based fusion methods are applicable even no scoring information is provided for all the documents involved. In this chpater, we are going to investigate ranking-based fusion methods especially the Borda count, the Condorcet voting and the weighted Condorect voting.