ENGLISH

Data Fusion in Information Retrieval

By Shengli Wu (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2012
ISBN
978-3-642-28865-4, 978-3-642-28866-1
DOI
10.1007/978-3-642-28866-1
Language
english
Format
PDF
Filesize
3 MB (3051166 bytes)
Series
Adaptation, Learning, and Optimization 13
Edition
1
Pages
228\233
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Computational Intelligence; Artificial Intelligenc

Description

The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others. This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated. A reader will find answers to the following questions, among others: What are the key factors that affect the performance of data fusion algorithms significantly? What conditions are favorable to data fusion algorithms? CombSum and CombMNZ, which one is better? and why? What is the rationale of using the linear combination method? How can the best fusion option be found under any given circumstances?

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