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PRICAI 2019: Trends in Artificial Intelligence

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Cover of 'PRICAI 2019: Trends in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Explaining Black-Box Models Using Interpretable Surrogates
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    Chapter 2 Classifier Learning from Imbalanced Corpus by Autoencoded Over-Sampling
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    Chapter 3 Semisupervised Cross-Media Retrieval by Distance-Preserving Correlation Learning and Multi-modal Manifold Regularization
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    Chapter 5 Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data
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    Chapter 6 Towards Understanding Classification and Identification
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    Chapter 8 Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning
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    Chapter 9 A Reinforcement Learning Approach to Gaining Social Capital with Partial Observation
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    Chapter 10 Emotion Recognition from Music Enhanced by Domain Knowledge
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    Chapter 11 A Better Understanding of the Interaction Between Users and Items by Knowledge Graph Learning for Temporal Recommendation
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    Chapter 12 Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction
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    Chapter 13 Two-Stage Entity Alignment: Combining Hybrid Knowledge Graph Embedding with Similarity-Based Relation Alignment
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    Chapter 14 A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph
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    Chapter 16 A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem
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    Chapter 18 Stacked Mixed-Scale Networks for Human Pose Estimation
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    Chapter 19 MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification
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    Chapter 20 Discriminative Deep Attention-Aware Hashing for Face Image Retrieval
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    Chapter 21 Texture Deformation Based Generative Adversarial Networks for Multi-domain Face Editing
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    Chapter 22 Towards Generating Stylized Image Captions via Adversarial Training
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    Chapter 24 Training with Additional Semantic Constraints for Enhancing Neural Machine Translation
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    Chapter 26 Named Entity Recognition with Homophones-Noisy Data
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    Chapter 27 Robust Sentence Classification by Solving Out-of-Vocabulary Problem with Auxiliary Word Predictor
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    Chapter 28 Effective Representation for Easy-First Dependency Parsing
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    Chapter 29 HRCR: Hidden Markov-Based Reinforcement to Reduce Churn in Question Answering Forums
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    Chapter 30 Boosting Variational Generative Model via Condition Enhancing and Lexical-Editing
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    Chapter 32 Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering
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    Chapter 33 Rational Inference Patterns
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    Chapter 34 Harnessing Higher-Order (Meta-)Logic to Represent and Reason with Complex Ethical Theories
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    Chapter 36 Mastering Uncertainty: Towards Robust Multistage Optimization with Decision Dependent Uncertainty
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    Chapter 37 Belief Change Properties of Forgetting Operations over Ranking Functions
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    Chapter 38 Identity Resolution in Ontology Based Data Access to Structured Data Sources
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    Chapter 39 SPARQL Queries over Ontologies Under the Fixed-Domain Semantics
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    Chapter 40 Augmenting an Answer Set Based Controlled Natural Language with Temporal Expressions
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    Chapter 41 Predictive Systems: The Game Rock-Paper-Scissors as an Example
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    Chapter 42 Strategy-Proofness, Envy-Freeness and Pareto Efficiency in Online Fair Division with Additive Utilities
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    Chapter 43 Knowledge Enhanced Neural Networks
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    Chapter 45 Non-zero-sum Stackelberg Budget Allocation Game for Computational Advertising
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    Chapter 46 Game Equivalence and Bisimulation for Game Description Language
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    Chapter 47 Characterizing the Expressivity of Game Description Languages
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    Chapter 48 A Strategy-Proof Model-Based Online Auction for Ad Reservation
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    Chapter 50 A Cognitive Model of Human Bias in Matching
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    Chapter 51 Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation
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    Chapter 52 Incentivizing Long-Term Engagement Under Limited Budget
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    Chapter 53 A Compromising Strategy Based on Constraint Relaxation for Automated Negotiating Agents
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    Chapter 54 Semantics of Opinion Transitions in Multi-Agent Forum Argumentation
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    Chapter 55 Learning Individual and Group Preferences in Abstract Argumentation
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    Chapter 56 Epistemic Argumentation Framework
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    Chapter 57 Modeling Convention Emergence by Observation with Memorization
Attention for Chapter 14: A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph
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Chapter title
A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph
Chapter number 14
Book title
PRICAI 2019: Trends in Artificial Intelligence
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-29908-8_14
Book ISBNs
978-3-03-029907-1, 978-3-03-029908-8
Authors

Guiming Zhu, Chenzhong Bin, Tianlong Gu, Liang Chang, Yanpeng Sun, Wei Chen, Zhonghao Jia, Zhu, Guiming, Bin, Chenzhong, Gu, Tianlong, Chang, Liang, Sun, Yanpeng, Chen, Wei, Jia, Zhonghao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Lecturer 1 13%
Unknown 5 63%
Readers by discipline Count As %
Computer Science 3 38%
Unknown 5 63%