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Web and Big Data

6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25–27, 2022, Proceedings, Part III

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Bohan Li

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  2. Lin Yue

    1. Newcastle University, Callaghan, Australia

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  3. Chuanqi Tao

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  4. Xuming Han

    1. Jinan University, Guangzhou, China

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  5. Diego Calvanese

    1. Free University of Bozen-Bolzano, Bolzano, Italy

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  6. Toshiyuki Amagasa

    1. University of Tsukuba, Tsukuba, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13423)

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2022.

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About this book

This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.

The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.

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Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xviii
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  2. Query Processing and Optimization

    1. Front Matter

      Pages 1-1
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    2. MSP: Learned Query Performance Prediction Using MetaInfo and Structure of Plans

      • Honghao Liu, Zhiyong Peng, Zhe Zhang, Huan Jiang, Yuwei Peng
      Pages 3-18

    3. Computing Online Average Happiness Maximization Sets over Data Streams

      • Zhiyang Hao, Jiping Zheng
      Pages 19-33

    4. A Penetration Path Planning Algorithm for UAV Based on Laguerre Diagram

      • Dan Li, Xu Chen, Panpan Ding, Jiani Huang
      Pages 34-41

    5. Scheduling Strategy for Specialized Vehicles Based on Digital Twin in Airport

      • Hongying Zhang, Minglong Liu, Chang Liu, Qian Luo, Zhaoxin Chen
      Pages 42-54

  3. Recommender Systems

    1. Front Matter

      Pages 55-55
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    2. Graph-Based Sequential Interpolation Recommender for Cold-Start Users

      • Aoran Li, Jiajun Wu, Shuai Xu, Yalei Zang, Yi Liu, Jiayi Lu et al.
      Pages 57-71

    3. Self-guided Contrastive Learning for Sequential Recommendation

      • Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao
      Pages 72-86

    4. Time Interval Aware Collaborative Sequential Recommendation with Self-supervised Learning

      • Chenrui Ma, Li Li, Rui Chen, Xi Li, Yichen Wang
      Pages 87-101

    5. A2TN: Aesthetic-Based Adversarial Transfer Network for Cross-Domain Recommendation

      • Chenghua Wang, Yu Sang
      Pages 102-116

    6. MORO: A Multi-behavior Graph Contrast Network for Recommendation

      • Weipeng Jiang, Lei Duan, Xuefeng Ding, Xiaocong Chen
      Pages 117-131

    7. Eir-Ripp: Enriching Item Representation for Recommendation with Knowledge Graph

      • Kaiwen Li, Chunyang Ye, Jinghui Wang
      Pages 132-148

    8. User Multi-behavior Enhanced POI Recommendation with Efficient and Informative Negative Sampling

      • Hanzhe Li, Jingjing Gu, Haochao Ying, Xinjiang Lu, Jingyuan Yang
      Pages 149-165

    9. Neighborhood Constraints Based Bayesian Personalized Ranking for Explainable Recommendation

      • Tingxuan Zhang, Li Zhu, Jie Wang
      Pages 166-173

    10. Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation

      • Yani Wang, Ji Zhang, Xiangmin Zhou, Yang Zhang
      Pages 174-181

    11. Mixed-Order Heterogeneous Graph Pre-training for Cold-Start Recommendation

      • Wenzheng Sui, Xiaoxia Jiang, Weiyi Ge, Wei Hu
      Pages 182-190

    12. MISRec: Multi-Intention Sequential Recommendation

      • Rui Chen, Dongxue Chen, Riwei Lai, Hongtao Song, Yichen Wang
      Pages 191-198

    13. MARS: A Multi-task Ranking Model for Recommending Micro-videos

      • Jiageng Song, Beihong Jin, Yisong Yu, Beibei Li, Xinzhou Dong, Wei Zhuo et al.
      Pages 199-214

  4. Security, Privacy, and Trust and Blockchain Data Management and Applications

    1. Front Matter

      Pages 215-215
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Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data

  4. Web and Big Data. APWeb-WAIM 2022 International Workshops

Editors and Affiliations

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Bohan Li, Chuanqi Tao

  • Newcastle University, Callaghan, Australia

    Lin Yue

  • Jinan University, Guangzhou, China

    Xuming Han

  • Free University of Bozen-Bolzano, Bolzano, Italy

    Diego Calvanese

  • University of Tsukuba, Tsukuba, Japan

    Toshiyuki Amagasa

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