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Advances in Knowledge Discovery and Data Mining

24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Hady W. Lauw

    1. School of Information Systems, Singapore Management University, Singapore, Singapore

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  2. Raymond Chi-Wing Wong

    1. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

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  3. Alexandros Ntoulas

    1. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

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  4. Ee-Peng Lim

    1. School of Information Systems, Singapore Management University, Singapore, Singapore

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  5. See-Kiong Ng

    1. Institute of Data Science, National University of Singapore, Singapore, Singapore

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  6. Sinno Jialin Pan

    1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12084)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2020.

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Table of contents (67 papers)

  1. Front Matter

    Pages i-xxxvii
    Download chapter PDF

  2. Recommender Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Fashion Recommendation with Multi-relational Representation Learning

      • Yang Li, Yadan Luo, Zi Huang
      Pages 3-15

    3. Off-Policy Recommendation System Without Exploration

      • Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
      Pages 16-27

    4. GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation

      • M. Vijaikumar, Shirish Shevade, M. Narasimha Murty
      Pages 28-40

    5. Collaborative Recommendation of Temporally-Discounted Tag-Based Expertise for Community Question Answering

      • Gianni Costa, Riccardo Ortale
      Pages 41-52

    6. Relation Embedding for Personalised Translation-Based POI Recommendation

      • Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz
      Pages 53-64

    7. FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode

      • Dimitris Paraschakis, Bengt J. Nilsson
      Pages 65-77

    8. Accurate News Recommendation Coalescing Personal and Global Temporal Preferences

      • Bonhun Koo, Hyunsik Jeon, U Kang
      Pages 78-90

    9. A Hybrid Recommendation for Music Based on Reinforcement Learning

      • Yu Wang
      Pages 91-103

    10. Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation

      • Xiaodong Wang, Zhen Liu, Nana Wang, Wentao Fan
      Pages 104-117

    11. Modeling Users’ Multifaceted Interest Correlation for Social Recommendation

      • Hao Wang, Huawei Shen, Xueqi Cheng
      Pages 118-129

    12. Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation

      • Hao Wang, Huawei Shen, Xueqi Cheng
      Pages 130-141

    13. MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data

      • Zhifeng Xie, Wenling Zhang, Huiming Ding, Lizhuang Ma
      Pages 142-154

    14. Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning

      • Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng Ann Heng
      Pages 155-167

    15. Joint Relational Dependency Learning for Sequential Recommendation

      • Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu
      Pages 168-180

    16. Modelling Temporal Dynamics and Repeated Behaviors for Recommendation

      • Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu
      Pages 181-193

  3. Classification

    1. Front Matter

      Pages 195-195
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    2. HIN: Hierarchical Inference Network for Document-Level Relation Extraction

      • Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang et al.
      Pages 197-209

    3. Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition

      • Tong Wu, Yiqiang Chen, Yang Gu, Jiwei Wang, Siyu Zhang, Zhanghu Zhechen
      Pages 210-221
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

About this book

The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic.

The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.

Editors and Affiliations

  • School of Information Systems, Singapore Management University, Singapore, Singapore

    Hady W. Lauw, Ee-Peng Lim

  • Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    Raymond Chi-Wing Wong

  • Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

    Alexandros Ntoulas

  • Institute of Data Science, National University of Singapore, Singapore, Singapore

    See-Kiong Ng

  • School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Sinno Jialin Pan

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