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

幻想

Spongy-Bone

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Ranking-Based Fusion,n 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.

抵制

弓箭

Evaluation of Retrieval Results,val 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.

骚动

Ranking-Based Fusion,n 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.

VERT

https://doi.org/10.1007/978-3-642-28866-1Data Fusion; Digital Libraries; Information Retrieval; Meta-search

考得

978-3-642-44801-0Springer-Verlag Berlin Heidelberg 2012

Occipital-Lobe

Knowledge Representation and OntologiesDifferent aspects of the data fusion technique have been addressed so far. Surprisingly, data fusion can be used in many different situations. In this chapter, we are going to discuss some applications of it.

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