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

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In Kap Ko,Anthony Atala,James J. Yoos been taken to try to find some sort of answer to these questions. It is understandable that statistical analysis plays a very important role. In this chapter, we are going to discuss some progress already made in this regard.

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https://doi.org/10.1007/978-981-10-8144-6s of all component results and the similarities among all of them. Several interesting features of the centroid-based data fusion method and the linear combination method can be deduced. As a formal model of data fusion, this framework enable us to have a better understanding of the nature of data f

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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.

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