Large-Scale Graph Mining and Learning for Information Retrieval

被引:0
|
作者
Gao, Bin [1 ]
Wang, Taifeng [1 ]
Liu, Tie-Yan [1 ]
机构
[1] Microsoft Res Asia, 5 Danling St, Beijing 100080, Peoples R China
关键词
Large-scale graph; graph ranking; Markov process; Map-Reduce;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For many information retrieval applications, we need to deal with the ranking problem on very large scale graphs. However, it is non-trivial to perform efficient and effective ranking on them. On one aspect, we need to design scalable algorithms. On another aspect, we also need to develop powerful computational infrastructure to support these algorithms. This tutorial aims at giving a timely introduction to the promising advances in the aforementioned aspects in recent years, and providing the audiences with a comprehensive view on the related literature.
引用
收藏
页码:1194 / 1195
页数:2
相关论文
共 50 条
  • [1] Large-Scale Multimedia Retrieval and Mining
    Yan, Rong
    Huet, Benoit
    Sukthankar, Rahul
    IEEE MULTIMEDIA, 2011, 18 (01) : 11 - 13
  • [2] Attention-Based Graph Summarization for Large-Scale Information Retrieval
    Shabani, Nasrin
    Beheshti, Amin
    Jolfaei, Alireza
    Wu, Jia
    Haghighi, Venus
    Najafabadi, Maryam Khanian
    Foo, Jin
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (03) : 6224 - 6235
  • [3] Machine Learning Based Graph Mining of Large-scale Network and Optimization
    Liu, Mingyue
    PROCEEDINGS OF 2021 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS '21), 2021,
  • [4] Large-Scale Retrieval for Reinforcement Learning
    Humphreys, Peter C.
    Guez, Arthur
    Tieleman, Olivier
    Sifre, Laurent
    Weber, Theophane
    Lillicrap, Timothy
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [5] Large-scale Graph Representation Learning
    Leskovec, Jure
    2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 4 - 4
  • [6] Exploiting and Evaluating MapReduce for Large-Scale Graph Mining
    Lai, Hung-Che
    Li, Cheng-Te
    Lo, Yi-Chen
    Lin, Shou-De
    2012 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2012, : 434 - 441
  • [7] Large-scale knowledge graph representation learning
    Badrouni, Marwa
    Katar, Chaker
    Inoubli, Wissem
    KNOWLEDGE AND INFORMATION SYSTEMS, 2024, 66 (09) : 5479 - 5499
  • [8] Large-Scale Data Processing for Information Retrieval Applications
    Khandel, Pooya
    PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023, 2023, : 3489 - 3489
  • [9] Active Sampling for Large-scale Information Retrieval Evaluation
    Li, Dan
    Kanoulas, Evangelos
    CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2017, : 49 - 58
  • [10] NLP and Large-Scale Information Retrieval on Mathematical Texts
    Dong, Yihe
    MATHEMATICAL SOFTWARE - ICMS 2018, 2018, 10931 : 156 - 164