Data Fusion in Information Retrieval

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...

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Detalhes bibliográficos
Autor principal: Wu, Shengli
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edição:1st ed. 2012.
Colecção:Adaptation, Learning, and Optimization 13
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data Fusion in Information Retrieval, Texte imprimé, 9783642288654
• Data Fusion in Information Retrieval, Texte imprimé, 9783642448010
• Data Fusion in Information Retrieval, Texte imprimé, 9783642288678
• Data Fusion in Information Retrieval, Texte imprimé, 9783642288654
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505 1 |a 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 
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520 |a 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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