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Information Retrieval

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Cover of 'Information Retrieval'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Translating Embeddings for Modeling Query Reformulation
  3. Altmetric Badge
    Chapter 2 A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval
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    Chapter 3 A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval
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    Chapter 4 Text Matching with Monte Carlo Tree Search
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    Chapter 5 Music Mood Classification Based on Lifelog
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    Chapter 6 Capsule-Based Bidirectional Gated Recurrent Unit Networks for Question Target Classification
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    Chapter 7 Question-Answering Aspect Classification with Multi-attention Representation
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    Chapter 8 Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension
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    Chapter 9 Generative Paragraph Vector
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    Chapter 10 Generative Adversarial Graph Representation Learning in Hyperbolic Space
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    Chapter 11 Beyond Pivot for Extracting Chinese Paraphrases
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    Chapter 12 Joint Attention LSTM Network for Aspect-Level Sentiment Analysis
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    Chapter 13 Extraction New Sentiment Words in Weibo Based on Relative Branch Entropy
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    Chapter 14 Two-Target Stance Detection with Target-Related Zone Modeling
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    Chapter 15 Information Diffusion Model Based on Opportunity, Trust and Motivation
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    Chapter 16 Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks
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    Chapter 17 A Hybrid Neural Network Model with Non-linear Factorization Machines for Collaborative Recommendation
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    Chapter 18 Identifying Price Sensitive Customers in E-commerce Platforms for Recommender Systems
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    Chapter 19 Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation
  21. Altmetric Badge
    Chapter 20 Learning Target-Dependent Sentence Representations for Chinese Event Detection
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    Chapter 21 Prior Knowledge Integrated with Self-attention for Event Detection
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    Chapter 22 Learning to Start for Sequence to Sequence Based Response Generation
Attention for Chapter 2: A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval
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Chapter title
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval
Chapter number 2
Book title
Information Retrieval
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-01012-6_2
Book ISBNs
978-3-03-001011-9, 978-3-03-001012-6
Authors

Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng, Yang, Zhou, Lan, Qingfeng, Guo, Jiafeng, Fan, Yixing, Zhu, Xiaofei, Lan, Yanyan, Wang, Yue, Cheng, Xueqi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 1%
Unknown 94 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Student > Master 17 18%
Researcher 9 9%
Student > Bachelor 7 7%
Lecturer 4 4%
Other 16 17%
Unknown 23 24%
Readers by discipline Count As %
Computer Science 54 57%
Engineering 5 5%
Unspecified 3 3%
Mathematics 3 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 6 6%
Unknown 23 24%