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Information Retrieval

Overview of attention for book
Cover of 'Information Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Contextual Search and Exploration
  3. Altmetric Badge
    Chapter 2 A Tutorial on Leveraging Knowledge Graphs for Web Search
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    Chapter 3 A Short Survey on Online and Offline Methods for Search Quality Evaluation
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    Chapter 4 Data Science for Massive Networks
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    Chapter 5 Models of Random Graphs and Their Applications to the Web-Graph Analysis
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    Chapter 6 Who Are My Ancestors? Retrieving Family Relationships from Historical Texts
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    Chapter 7 Exploiting Semantic Annotation of Content with Linked Open Data (LoD) to Improve Searching Performance in Web Repositories of Multi-disciplinary Research Data
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    Chapter 8 Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extraction
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    Chapter 9 Using Levenshtein Distance for Typical User Actions and Search Engine Switching Detection
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    Chapter 10 Detecting Opinion Polarisation on Twitter by Constructing Pseudo-Bimodal Networks of Mentions and Retweets
  12. Altmetric Badge
    Chapter 11 Languages of Russia: Using Social Networks to Collect Texts
Attention for Chapter 2: A Tutorial on Leveraging Knowledge Graphs for Web Search
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Citations

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Readers on

mendeley
17 Mendeley
Summary Dimensions citations
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Chapter title
A Tutorial on Leveraging Knowledge Graphs for Web Search
Chapter number 2
Book title
Information Retrieval
Published by
Springer International Publishing, July 2016
DOI 10.1007/978-3-319-41718-9_2
Book ISBNs
978-3-31-941717-2, 978-3-31-941718-9
Authors

Gianluca Demartini

Editors

Pavel Braslavski, Ilya Markov, Panos Pardalos, Yana Volkovich, Dmitry I. Ignatov, Sergei Koltsov, Olessia Koltsova

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Lecturer 2 12%
Researcher 2 12%
Student > Ph. D. Student 2 12%
Student > Bachelor 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 10 59%
Business, Management and Accounting 1 6%
Engineering 1 6%
Unknown 5 29%

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