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Dynamic Embedding Size Search with Minimum Regret for Streaming
  Recommender System

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

15 August 2023
Bowei He
Xu He
Renrui Zhang
Yingxue Zhang
Ruiming Tang
Chen-li Ma
    AI4TS
ArXivPDFHTML

Papers citing "Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System"

4 / 4 papers shown
Title
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based
  Graph Continual Learning
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
Seungyoon Choi
Wonjoong Kim
Sungwon Kim
Yeonjun In
Sein Kim
Chanyoung Park
CLL
30
4
0
21 Feb 2024
Learnable Embedding Sizes for Recommender Systems
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
59
83
0
19 Jan 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K
  Recommendation
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen-li Ma
Liheng Ma
Yingxue Zhang
Ruiming Tang
Xue Liu
Mark J. Coates
53
49
0
13 Jan 2021
Weighted Linear Bandits for Non-Stationary Environments
Weighted Linear Bandits for Non-Stationary Environments
Yoan Russac
Claire Vernade
Olivier Cappé
82
101
0
19 Sep 2019
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