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Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task
  Learning Method for Recommender System

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

10 February 2023
Jie Zhou
Qian Yu
Chuanxian Luo
Jing Zhang
ArXivPDFHTML

Papers citing "Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System"

4 / 4 papers shown
Title
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization
  in CTR Prediction
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
Wenhao Li
Jie Zhou
Chuan Luo
Chao Tang
Kun Zhang
Shixiong Zhao
51
0
0
03 Aug 2024
Advancements in Recommender Systems: A Comprehensive Analysis Based on
  Data, Algorithms, and Evaluation
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
Xin Ma
Mingyue Li
Xuguang Liu
OffRL
33
0
0
10 Jul 2024
Decoupling Common and Unique Representations for Multimodal
  Self-supervised Learning
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Chenying Liu
Zhitong Xiong
Xiaoxiang Zhu
SSL
25
16
0
11 Sep 2023
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical
  Information Extraction
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
Jie Zhou
Xia Cao
Wenhao Li
Lin Bo
Anton van den Hengel
Chuan Luo
Qian Yu
29
24
0
10 Mar 2023
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