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Distributed Multimedia Information Retrieval

Overview of attention for book
Cover of 'Distributed Multimedia Information Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 Harvesting: Broadening the Field of Distributed Information Retrieval
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    Chapter 2 Using Query Probing to Identify Query Language Features on the Web
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    Chapter 3 The Effect of Database Size Distribution on Resource Selection Algorithms
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    Chapter 4 Decision-Theoretic Resource Selection for Different Data Types in MIND
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    Chapter 5 Distributed Web Search as a Stochastic Game
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    Chapter 6 Collection Fusion for Distributed Image Retrieval
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    Chapter 7 New Methods of Results Merging for Distributed Information Retrieval
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    Chapter 8 Recent Results on Fusion of Effective Retrieval Strategies in the Same Information Retrieval System
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    Chapter 9 The MIND Architecture for Heterogeneous Multimedia Federated Digital Libraries
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    Chapter 10 Apoidea: A Decentralized Peer-to-Peer Architecture for Crawling the World Wide Web
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    Chapter 11 Towards Virtual Knowledge Communities in Peer-to-Peer Networks
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    Chapter 12 The Personalized, Collaborative Digital Library Environment CYCLADES and Its Collections Management
Attention for Chapter 7: New Methods of Results Merging for Distributed Information Retrieval
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Citations

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Chapter title
New Methods of Results Merging for Distributed Information Retrieval
Chapter number 7
Book title
Distributed Multimedia Information Retrieval
Published by
Springer, Berlin, Heidelberg, August 2003
DOI 10.1007/978-3-540-24610-7_7
Book ISBNs
978-3-54-020875-4, 978-3-54-024610-7
Authors

Shengli Wu, Fabio Crestani, Forbes Gibb, Wu, Shengli, Crestani, Fabio, Gibb, Forbes

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Other 1 20%
Readers by discipline Count As %
Computer Science 6 120%

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