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2206.05941
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Towards Universal Sequence Representation Learning for Recommender Systems
13 June 2022
Yupeng Hou
Shanlei Mu
Wayne Xin Zhao
Yaliang Li
Bolin Ding
Ji-Rong Wen
AI4TS
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Papers citing
"Towards Universal Sequence Representation Learning for Recommender Systems"
21 / 21 papers shown
Title
A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
Xiaokun Zhang
Bo Xu
Chenliang Li
Bowei He
Hongfei Lin
Chen-li Ma
Fenglong Ma
0
0
0
18 May 2025
Learning Item Representations Directly from Multimodal Features for Effective Recommendation
Xin Zhou
Xiaoxiong Zhang
Dusit Niyato
Zhiqi Shen
56
0
0
08 May 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Yiming Li
Hanwen Du
Y. Li
Junchen Fu
Chunxiao Li
Ziyi Zhuang
Jiakang Li
Yongxin Ni
AI4TS
29
0
0
19 Apr 2025
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
J. Lin
Tian Wang
Kun Qian
LRM
47
2
0
31 Mar 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
91
21
0
24 Feb 2025
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
Chen Wang
Fangxin Wang
Ruocheng Guo
Yueqing Liang
Philip S. Yu
123
4
0
21 Feb 2025
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
Zuoli Tang
Zhaoxin Huan
Zihao Li
Xiaolu Zhang
Jun Hu
Chilin Fu
Jun Zhou
Lixin Zou
Chenliang Li
61
15
0
20 Feb 2025
Enhancing User Intent for Recommendation Systems via Large Language Models
Xiaochuan Xu
Zeqiu Xu
Peiyang Yu
Jiani Wang
36
7
0
18 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Qiang Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Xu
Feng Tian
36
0
0
31 Dec 2024
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
57
1
0
17 Oct 2024
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo
Keith Burghardt
Valeria Pante
Kristina Lerman
AI4TS
26
0
0
02 May 2024
Can Small Language Models be Good Reasoners for Sequential Recommendation?
Yuling Wang
Changxin Tian
Binbin Hu
Yanhua Yu
Ziqi Liu
Qing Cui
Jun Zhou
Liang Pang
Xiao Wang
LRM
48
24
0
07 Mar 2024
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection
Zewen Zhao
Zheng Zhu
Guilin Li
Wenhan Wang
Boyuan Wang
6
1
0
22 Dec 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu
Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
35
2
0
15 Oct 2023
AntM
2
^{2}
2
C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Zhaoxin Huan
Ke Ding
Ang Li
Xiaolu Zhang
Xu Min
...
Linjian Mo
Jinjie Gu
Zhongyi Liu
Wenliang Zhong
Guannan Zhang
29
0
0
31 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
40
78
0
22 Aug 2023
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
63
309
0
05 Jul 2023
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng
Juntao Tan
Shuchang Liu
Zuohui Fu
Yongfeng Zhang
29
69
0
23 May 2023
Recommender Transformers with Behavior Pathways
Zhiyu Yao
Xinyang Chen
Sinan Wang
Qinyan Dai
Yumeng Li
Tanchao Zhu
Mingsheng Long
19
3
0
13 Jun 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou
Hui Yu
Wayne Xin Zhao
Ji-Rong Wen
85
253
0
28 Feb 2022
Scaling Law for Recommendation Models: Towards General-purpose User Representations
Kyuyong Shin
Hanock Kwak
KyungHyun Kim
Max Nihlén Ramström
Jisu Jeong
Jung-Woo Ha
S. Kim
ELM
36
38
0
15 Nov 2021
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