Adaptation, Learning, and Optimization

Data Fusion in Information Retrieval

Authors: Wu, Shengli

  • Latest 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 results, the estimation of retrieval effectiveness, and world university ranking
  • Written by a leading expert in the field
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About this book

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?

Reviews

From the reviews:

“This book is … the result of a 10-year long engagement in data fusion within the context of various research projects. … The book is written in a very concise and dense manner, which makes it … readable for the expert, in particular the one with a good mathematical background. It contains a lot of evaluation results that help compare the various fusion methods presented, which is helpful for the practitioner. It also gives a good overview … of applications of data fusion.” (Gottfried Vossen, Zentralblatt MATH, Vol. 1246, 2012)


Table of contents (9 chapters)

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-28866-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-642-28865-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-3-642-44801-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Data Fusion in Information Retrieval
Authors
Series Title
Adaptation, Learning, and Optimization
Series Volume
13
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-28866-1
DOI
10.1007/978-3-642-28866-1
Hardcover ISBN
978-3-642-28865-4
Softcover ISBN
978-3-642-44801-0
Series ISSN
1867-4534
Edition Number
1
Number of Pages
XII, 228
Topics