APISynth: A new graph-based API recommender system

被引:0
|
作者
Lv, Chen [1 ,2 ]
Jiang, Wei [3 ]
Hu, Song-Lin [1 ]
机构
[1] Advanced Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing,100190, China
[2] University of Chinese Academy of Sciences, Beijing,100149, China
[3] R&D Academy of Well Logging, CNPC Greatwall Drilling Company, Beijing,100101, China
来源
关键词
D O I
10.11897/SP.J.1016.2015.02172
中图分类号
学科分类号
摘要
25
引用
收藏
页码:2172 / 2187
相关论文
共 50 条
  • [31] An entity graph based Recommender System
    Chaudhari, Sneha
    Azaria, Amos
    Mitchell, Tom
    AI COMMUNICATIONS, 2017, 30 (02) : 141 - 149
  • [32] Graph based Resource Recommender System
    Pabitha, P.
    Amirthavalli, G.
    Vasuki, C.
    Mridhula, J.
    2014 INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2014,
  • [33] A graph-based approach for minimising the knowledge requirement of explainable recommender systems
    Caro-Martinez, Marta
    Jimenez-Diaz, Guillermo
    Recio-Garcia, Juan A.
    KNOWLEDGE AND INFORMATION SYSTEMS, 2023, 65 (10) : 4379 - 4409
  • [34] FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
    Mansoury, Masoud
    Abdollahpouri, Himan
    Pechenizkiy, Mykola
    Mobasher, Bamshad
    Burke, Robin
    UMAP'20: PROCEEDINGS OF THE 28TH ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, 2020, : 154 - 162
  • [35] A framework for solving bias in graph-based recommender systems with a causal perspective
    Yang, Kewu
    Li, Guogang
    Wang, Linjia
    Xie, Jianrong
    APPLIED INTELLIGENCE, 2025, 55 (06)
  • [36] Graph-based Representation Learning for Web-scale Recommender Systems
    El-Kishky, Ahmed
    Bronstein, Michael
    Xiao, Ying
    Haghighi, Aria
    PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022, 2022, : 4784 - 4785
  • [37] Graph-Based Interface for Explanations by Examples in Recommender Systems: A User Study
    Caro-Martinez, Marta
    Jorro-Aragoneses, Jose L.
    Diaz-Agudo, Belen
    Recio-Garcia, Juan A.
    EXPLAINABLE ARTIFICIAL INTELLIGENCE, PT II, XAI 2024, 2024, 2154 : 28 - 41
  • [38] GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network
    Zang, Yalei
    Liu, Yi
    Chen, Weitong
    Li, Bohan
    Li, Aoran
    Yue, Lin
    Ma, Weihua
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2022, PT II, 2022, : 289 - 297
  • [39] A graph-based approach for minimising the knowledge requirement of explainable recommender systems
    Marta Caro-Martínez
    Guillermo Jiménez-Díaz
    Juan A. Recio-Garcia
    Knowledge and Information Systems, 2023, 65 : 4379 - 4409
  • [40] A New Version of Graph-based Ant System for Subset Problems
    Liang Shubao
    Cao Jianjun
    Zhang Peilin
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 1719 - 1722