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ONCE: Boosting Content-based Recommendation with Both Open- and
  Closed-source Large Language Models

ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models

11 May 2023
Qijiong Liu
Nuo Chen
Tetsuya Sakai
Xiao-Ming Wu
ArXivPDFHTML

Papers citing "ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models"

20 / 20 papers shown
Title
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRM
AI4CE
19
0
0
23 Apr 2025
Personalize Your LLM: Fake it then Align it
Yijing Zhang
Dyah Adila
Changho Shin
Frederic Sala
84
0
0
02 Mar 2025
Revisiting Language Models in Neural News Recommender Systems
Revisiting Language Models in Neural News Recommender Systems
Yuyue Zhao
Jin Huang
David Vos
Maarten de Rijke
KELM
50
0
0
20 Jan 2025
LLMs are Also Effective Embedding Models: An In-depth Overview
LLMs are Also Effective Embedding Models: An In-depth Overview
Chongyang Tao
Tao Shen
Shen Gao
Junshuo Zhang
Zhen Li
Zhengwei Tao
Shuai Ma
66
7
0
17 Dec 2024
VisualLens: Personalization through Visual History
VisualLens: Personalization through Visual History
Wang Zhu
Deqing Fu
Kai Sun
Y. Lu
Zhaojiang Lin
...
Kanika Narang
Mustafa Canim
Yue Liu
Anuj Kumar
Xin Luna Dong
AI4TS
101
0
0
25 Nov 2024
GOT4Rec: Graph of Thoughts for Sequential Recommendation
GOT4Rec: Graph of Thoughts for Sequential Recommendation
Zewen Long
Liang Wang
Shu Wu
Qiang Liu
Liang Wang
73
1
0
22 Nov 2024
Advancing Large Language Models for Spatiotemporal and Semantic
  Association Mining of Similar Environmental Events
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
Yuanyuan Tian
Wenwen Li
Lei Hu
X. Chen
Michael Brook
Michael Brubaker
Fan Zhang
A. Liljedahl
KELM
79
0
0
19 Nov 2024
Efficient and Effective Adaptation of Multimodal Foundation Models in
  Sequential Recommendation
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Junchen Fu
Xuri Ge
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
Kaiwen Zheng
Yongxin Ni
J. Jose
18
0
0
05 Nov 2024
Large Language Models as Narrative-Driven Recommenders
Large Language Models as Narrative-Driven Recommenders
Lukas Eberhard
Thorsten Ruprechter
Denis Helic
LRM
17
0
0
17 Oct 2024
Cognitive Biases in Large Language Models for News Recommendation
Cognitive Biases in Large Language Models for News Recommendation
Yougang Lyu
Xiaoyu Zhang
Zhaochun Ren
Maarten de Rijke
13
2
0
03 Oct 2024
Large Language Models for Link Stealing Attacks Against Graph Neural
  Networks
Large Language Models for Link Stealing Attacks Against Graph Neural Networks
Faqian Guan
Tianqing Zhu
Hui Sun
Wanlei Zhou
Philip S. Yu
AAML
29
0
0
22 Jun 2024
On Softmax Direct Preference Optimization for Recommendation
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen
Junfei Tan
An Zhang
Zhengyi Yang
Leheng Sheng
Enzhi Zhang
Xiang Wang
Tat-Seng Chua
23
23
0
13 Jun 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Yuchen Zhuang
Haotian Sun
Yue Yu
Rushi Qiang
Qifan Wang
Chao Zhang
Bo Dai
AAML
28
14
0
05 Jun 2024
From Persona to Personalization: A Survey on Role-Playing Language
  Agents
From Persona to Personalization: A Survey on Role-Playing Language Agents
Jiangjie Chen
Xintao Wang
Rui Xu
Siyu Yuan
Yikai Zhang
...
Caiyu Hu
Siye Wu
Scott Ren
Ziquan Fu
Yanghua Xiao
50
72
0
28 Apr 2024
IISAN: Efficiently Adapting Multimodal Representation for Sequential
  Recommendation with Decoupled PEFT
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
Junchen Fu
Xuri Ge
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
Jie Wang
Joemon M. Jose
22
17
0
02 Apr 2024
A Survey on Knowledge Distillation of Large Language Models
A Survey on Knowledge Distillation of Large Language Models
Xiaohan Xu
Ming Li
Chongyang Tao
Tao Shen
Reynold Cheng
Jinyang Li
Can Xu
Dacheng Tao
Tianyi Zhou
KELM
VLM
34
94
0
20 Feb 2024
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng-Long Jiang
11
8
0
11 Dec 2023
A Survey on Large Language Models for Recommendation
A Survey on Large Language Models for Recommendation
Likang Wu
Zhilan Zheng
Zhaopeng Qiu
Hao Wang
Hongchao Gu
...
Chen Zhu
Hengshu Zhu
Qi Liu
Hui Xiong
Enhong Chen
26
358
0
31 May 2023
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT
S. Ubani
S. Polat
Rodney D. Nielsen
81
51
0
27 Apr 2023
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Guangyi Liu
Jie-jin Yang
Ledell Yu Wu
LMTD
63
32
0
15 Sep 2022
1