Data Fusion in Information Retrieval

• Main Author: Wu, Shengli (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Adaptation, Learning, and Optimization, 13
• Subjects: Engineering.; Data mining.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

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...

Table of Contents:

• Introduction
• Evaluation of Retrieval Results
• Score Normalization
• Observations and Analyses
• The Linear Combination Method
• A Geometric Framework for Data Fusion
• Ranking-Based Fusion
• Fusing Results from Overlapping Databases
• Application of the Data Fusion Technique.