Iterative framework based on multi-task learning for service recommendation

被引:0
|
作者
Yu, Ting [1 ,2 ]
Yu, Dongjin [1 ]
Wang, Dongjing [1 ]
Yang, Quanxin [1 ]
Hu, Xueyou [1 ]
机构
[1] School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou,310018, China
[2] Jiaxing Nanhu University, Jiaxing,314001, China
基金
中国国家自然科学基金;
关键词
Distributed computer systems - Learning systems;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Social recommendation via deep neural network-based multi-task learning
    Feng, Xiaodong
    Liu, Zhen
    Wu, Wenbing
    Zuo, Wenbo
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 206
  • [32] Health-Aware Food Recommendation Based on Knowledge Graph and Multi-Task Learning
    Chen, Yi
    Guo, Yandi
    Fan, Qiuxu
    Zhang, Qinghui
    Dong, Yu
    FOODS, 2023, 12 (10)
  • [33] A multi-task framework for metric learning with common subspace
    Yang, Peipei
    Huang, Kaizhu
    Liu, Cheng-Lin
    NEURAL COMPUTING & APPLICATIONS, 2013, 22 (7-8): : 1337 - 1347
  • [34] Focused multi-task learning in a Gaussian process framework
    Gayle Leen
    Jaakko Peltonen
    Samuel Kaski
    Machine Learning, 2012, 89 : 157 - 182
  • [35] Multi-task gradient descent for multi-task learning
    Lu Bai
    Yew-Soon Ong
    Tiantian He
    Abhishek Gupta
    Memetic Computing, 2020, 12 : 355 - 369
  • [36] An effective multi-task learning framework for drug repurposing based on graph representation learning
    Ye, Shengwei
    Zhao, Weizhong
    Shen, Xianjun
    Jiang, Xingpeng
    He, Tingting
    METHODS, 2023, 218 : 48 - 56
  • [37] Multi-task gradient descent for multi-task learning
    Bai, Lu
    Ong, Yew-Soon
    He, Tiantian
    Gupta, Abhishek
    MEMETIC COMPUTING, 2020, 12 (04) : 355 - 369
  • [38] Multi-task Learning for Transit Service Disruption Detection
    Ji, Taoran
    Fu, Kaiqun
    Self, Nathan
    Lu, Chang-Tien
    Ramakrishnan, Naren
    2018 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2018, : 634 - 641
  • [39] A Multi-Task Learning Framework for Abstractive Text Summarization
    Lu, Yao
    Liu, Linqing
    Jiang, Zhile
    Yang, Min
    Goebel, Randy
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 9987 - 9988
  • [40] A multi-task framework for metric learning with common subspace
    Peipei Yang
    Kaizhu Huang
    Cheng-Lin Liu
    Neural Computing and Applications, 2013, 22 : 1337 - 1347