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portada Data Fusion in Information Retrieval de Shengli Wu(Springer)
Type
Physical Book
Publisher
Author
Language
English
Pages
240
Format
Paperback
ISBN13
9783642448010

Data Fusion in Information Retrieval de Shengli Wu(Springer)

Wu Shengli (Author) · Springer · Paperback

Data Fusion in Information Retrieval de Shengli Wu(Springer) - Wu Shengli

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Synopsis "Data Fusion in Information Retrieval de Shengli Wu(Springer)"

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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