Titlebook: Data Fusion in Information Retrieval; Shengli Wu Book 2012 Springer-Verlag Berlin Heidelberg 2012 Data Fusion.Digital Libraries.Informatio

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Data Fusion in Information Retrieval978-3-642-28866-1Series ISSN 1867-4534 Series E-ISSN 1867-4542

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Clinical Regenerative Medicine in Urologyval result is presented as a ranked list of documents. Under such an assumption, we review some retrieval evaluation systems including binary relevance judgment, graded relevance judgment, and incomplete relevance judgment.We also introduce some metrics that will be used later in this book.

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Hisatsugu Goto,Yasuhiko Nishiokan 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.

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Shengli WuLatest research on Data Fusion in Information Retrieval.Includes various example applications such as developing more effective information retrieval systems, a more reliable comparison of retrieval r

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Adaptation, Learning, and Optimizationhttp://image.papertrans.cn/d/image/262812.jpg

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Clinical Regenerative Medicine in Urologyinear combination method, how to decide weights is a key issue. Profitable weights assignment is affected by a few factors mainly including performance of all component results and similarity among component results. In this chapter, we are going to discuss a few different methods for weights assign