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Adap-$τ$: Adaptively Modulating Embedding Magnitude for
  Recommendation

Adap-τττ: Adaptively Modulating Embedding Magnitude for Recommendation

9 February 2023
Jiawei Chen
Junkang Wu
Jiancan Wu
Sheng Zhou
Xuezhi Cao
Xiangnan He
ArXivPDFHTML

Papers citing "Adap-$τ$: Adaptively Modulating Embedding Magnitude for Recommendation"

14 / 14 papers shown
Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
44
0
0
01 May 2025
Why is Normalization Necessary for Linear Recommenders?
Why is Normalization Necessary for Linear Recommenders?
Seongmin Park
Mincheol Yoon
Hye-young Kim
Jongwuk Lee
35
0
0
08 Apr 2025
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
Bohao Wang
Feng Liu
Jiawei Chen
Xingyu Lou
Changwang Zhang
Jun Wang
Yuegang Sun
Yan Feng
C. L. P. Chen
C. Wang
32
0
0
05 Apr 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
Miaomiao Cai
Lei Chen
Yifan Wang
Zhiyong Cheng
M. Zhang
Meng Wang
41
0
0
30 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
Sirui Chen
Shen Han
Jiawei Chen
Binbin Hu
Sheng Zhou
Gang Wang
Yan Feng
C. L. P. Chen
C. Wang
OffRL
46
0
0
21 Mar 2025
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
Haibo Xing
Kanefumi Matsuyama
Hao Deng
Jinxin Hu
Yu Zhang
Xiaoyi Zeng
38
0
0
22 Feb 2025
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for
  Recommendation
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
Weiqin Yang
Jiawei Chen
Xin Xin
Sheng Zhou
Binbin Hu
Yan Feng
C. L. P. Chen
C. Wang
45
2
0
31 Oct 2024
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
53
1
0
17 Oct 2024
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Miaomiao Cai
Lei Chen
Yifan Wang
Haoyue Bai
Peijie Sun
Le Wu
Min Zhang
Meng Wang
26
10
0
31 May 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
24
6
0
18 Apr 2024
Large Language Models are Learnable Planners for Long-Term
  Recommendation
Large Language Models are Learnable Planners for Long-Term Recommendation
Wentao Shi
Xiangnan He
Yang Zhang
Chongming Gao
Xinyue Li
Jizhi Zhang
Qifan Wang
Fuli Feng
28
11
0
29 Feb 2024
Intersectional Two-sided Fairness in Recommendation
Intersectional Two-sided Fairness in Recommendation
Yifan Wang
Peijie Sun
Weizhi Ma
Min Zhang
Yuan Zhang
Peng Jiang
Shaoping Ma
FaML
29
8
0
05 Feb 2024
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
Zijie Song
Jiawei Chen
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
33
17
0
13 Aug 2023
A Survey on Popularity Bias in Recommender Systems
A Survey on Popularity Bias in Recommender Systems
Anastasiia Klimashevskaia
Dietmar Jannach
Mehdi Elahi
C. Trattner
16
33
0
02 Aug 2023
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