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Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

22 October 2022
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
ArXivPDFHTML

Papers citing "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders"

11 / 11 papers shown
Title
Learning Item Representations Directly from Multimodal Features for Effective Recommendation
Learning Item Representations Directly from Multimodal Features for Effective Recommendation
Xin Zhou
Xiaoxiong Zhang
Dusit Niyato
Zhiqi Shen
51
0
0
08 May 2025
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
Jiakai Tang
Sunhao Dai
Teng Shi
Jun Xu
X. Chen
Wen Chen
Wu Jian
Yuning Jiang
LRM
70
5
0
28 Mar 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
87
2
0
20 Feb 2025
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
Jian Jia
Jingtong Gao
Ben Xue
Junhao Wang
Qingpeng Cai
Quan Chen
Xiangyu Zhao
Peng Jiang
Kun Gai
OffRL
77
0
0
18 Feb 2025
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
Songpei Xu
Shijia Wang
Da Guo
Xianwen Guo
Qiang Xiao
Fangjian Li
Chuanjiang Luo
80
0
0
17 Feb 2025
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
57
1
0
17 Oct 2024
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Yuyang Ye
Zhi Zheng
Yishan Shen
Tianshu Wang
Hengruo Zhang
Peijun Zhu
Runlong Yu
Kai Zhang
Hui Xiong
42
7
0
19 Aug 2024
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELM
LRM
64
4
0
02 Feb 2024
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
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
34
79
0
22 Aug 2023
Recommender Systems in the Era of Large Language Models (LLMs)
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
Filter-enhanced MLP is All You Need for Sequential Recommendation
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
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