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One4all User Representation for Recommender Systems in E-commerce

One4all User Representation for Recommender Systems in E-commerce

24 May 2021
Kyuyong Shin
Hanock Kwak
KyungHyun Kim
Minkyu Kim
Young-Jin Park
Jisu Jeong
Seungjae Jung
ArXivPDFHTML

Papers citing "One4all User Representation for Recommender Systems in E-commerce"

11 / 11 papers shown
Title
Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
Ziang Lu
Lei Guo
Xu Yu
Zhiyong Cheng
Xiaohui Han
Lei Zhu
40
0
0
29 Mar 2025
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
Yu Zhang
Shutong Qiao
Jiaqi Zhang
Tzu-Heng Lin
Chen Gao
Y. Li
LM&Ro
LM&MA
87
1
0
07 Mar 2025
A Comprehensive Survey on Self-Supervised Learning for Recommendation
A Comprehensive Survey on Self-Supervised Learning for Recommendation
Xubin Ren
Wei Wei
Lianghao Xia
Chao Huang
SSL
34
9
0
04 Apr 2024
Embedding in Recommender Systems: A Survey
Embedding in Recommender Systems: A Survey
Xiangyu Zhao
Maolin Wang
Xinjian Zhao
Jiansheng Li
Shucheng Zhou
Dawei Yin
Qing Li
Jiliang Tang
Ruocheng Guo
AI4TS
36
10
0
28 Oct 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
Pivotal Role of Language Modeling in Recommender Systems: Enriching
  Task-specific and Task-agnostic Representation Learning
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning
Kyuyong Shin
Hanock Kwak
Wonjae Kim
Jisu Jeong
Seungjae Jung
KyungHyun Kim
Jung-Woo Ha
Sang-Woo Lee
19
4
0
07 Dec 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
40
46
0
21 Sep 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLM
AI4TS
23
447
0
24 Mar 2022
Scaling Law for Recommendation Models: Towards General-purpose User
  Representations
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
33
38
0
15 Nov 2021
Intent-based Product Collections for E-commerce using Pretrained
  Language Models
Intent-based Product Collections for E-commerce using Pretrained Language Models
Hiun Kim
Jisu Jeong
KyungHyun Kim
Dongjun Lee
Hyun Dong Lee
Dongpil Seo
Jeeseung Han
Dong Wook Park
J. Heo
Rak Yeong Kim
46
2
0
15 Oct 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
231
4,469
0
23 Jan 2020
1