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Observations and Analyses

  • Shengli Wu
Part of the Adaptation, Learning, and Optimization book series (ALO, volume 13)

Abstract

Due to the uncertainty involved, it is difficult to answer questions such as why and how data fusion can improve retrieval performance, which data fusion method is better, or in what condition the data fusion methods can improve retrieval performance. However, in the last two decades, some effort has 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.

Keywords

Performance Prediction Data Fusion Average Precision Information Retrieval System Fusion Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Computing and MathematicsUniversity of UlsterNewtownabbeyUnited Kingdom

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