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Information Retrieval Technology

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Cover of 'Information Retrieval Technology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards Automatic Evaluation of Reused Answers in Community Question Answering
  3. Altmetric Badge
    Chapter 2 Unsupervised Answer Retrieval with Data Fusion for Community Question Answering
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    Chapter 3 A Semantic Expansion-Based Joint Model for Answer Ranking in Chinese Question Answering Systems
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    Chapter 4 Arc Loss: Softmax with Additive Angular Margin for Answer Retrieval
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    Chapter 5 Context-Aware Collaborative Ranking
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    Chapter 6 Context-Aware Helpfulness Prediction for Online Product Reviews
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    Chapter 7 LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation
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    Chapter 8 On the Pluses and Minuses of Risk
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    Chapter 9 Randomised vs. Prioritised Pools for Relevance Assessments: Sample Size Considerations
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    Chapter 10 Cross-Level Matching Model for Information Retrieval
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    Chapter 11 Understanding and Improving Neural Ranking Models from a Term Dependence View
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    Chapter 12 Generating Short Product Descriptors Based on Very Little Training Data
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    Chapter 13 Experiments with Cross-Language Speech Retrieval for Lower-Resource Languages
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    Chapter 14 Weighted N-grams CNN for Text Classification
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    Chapter 15 Detecting Emerging Rumors by Embedding Propagation Graphs
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    Chapter 16 Improving Arabic Microblog Retrieval with Distributed Representations
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    Chapter 17 LODeDeC: A Framework for Integration of Entity Relations from Knowledge Graphs
Attention for Chapter 8: On the Pluses and Minuses of Risk
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Chapter title
On the Pluses and Minuses of Risk
Chapter number 8
Book title
Information Retrieval Technology
Published by
Springer, Cham, November 2019
DOI 10.1007/978-3-030-42835-8_8
Book ISBNs
978-3-03-042834-1, 978-3-03-042835-8
Authors

Rodger Benham, Alistair Moffat, J. Shane Culpepper, Benham, Rodger, Moffat, Alistair, Culpepper, J. Shane

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 38%
Student > Doctoral Student 2 15%
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Unspecified 1 8%
Other 2 15%
Readers by discipline Count As %
Mathematics 4 31%
Agricultural and Biological Sciences 3 23%
Unspecified 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 2 15%