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Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual
  User Behaviors

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors

28 March 2024
Binzong Geng
Zhaoxin Huan
Xiaolu Zhang
Yong He
Liang Zhang
Fajie Yuan
Jun Zhou
Linjian Mo
ArXivPDFHTML

Papers citing "Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors"

12 / 12 papers shown
Title
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
Qidong Liu
Xiangyu Zhao
Yejing Wang
Zijian Zhang
Howard Zhong
Chong Chen
X. Li
Wei Huang
Feng Tian
AI4TS
26
0
0
25 Apr 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
65
5
0
28 Mar 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning
Process-Supervised LLM Recommenders via Flow-guided Tuning
Chongming Gao
Mengyao Gao
Chenxiao Fan
Shuai Yuan
Wentao Shi
Xiangnan He
76
2
0
10 Mar 2025
Large Language Model Enhanced Recommender Systems: A Survey
Large Language Model Enhanced Recommender Systems: A Survey
Q. Liu
Xiangyu Zhao
Yuhao Wang
Y. Wang
Zijian Zhang
...
Maolin Wang
Pengyue Jia
Chong Chen
Wei Huang
Feng Tian
OffRL
82
0
0
18 Dec 2024
Leveraging Large Language Models for Active Merchant Non-player Characters
Leveraging Large Language Models for Active Merchant Non-player Characters
Byungjun Kim
Minju Kim
Dayeon Seo
Bugeun Kim
87
0
0
15 Dec 2024
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
Guoxiao Zhang
Yi Wei
Yadong Zhang
Huajian Feng
Qiang Liu
78
0
0
09 Dec 2024
EasyRec: Simple yet Effective Language Models for Recommendation
EasyRec: Simple yet Effective Language Models for Recommendation
Xubin Ren
Chao Huang
SyDa
24
5
0
16 Aug 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
32
24
0
13 Jun 2024
Large Language Models Enhanced Sequential Recommendation for Long-tail
  User and Item
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item
Qidong Liu
Xian Wu
Xiangyu Zhao
Yejing Wang
Zijian Zhang
Feng Tian
Yefeng Zheng
35
11
0
31 May 2024
What Language Model to Train if You Have One Million GPU Hours?
What Language Model to Train if You Have One Million GPU Hours?
Teven Le Scao
Thomas Wang
Daniel Hesslow
Lucile Saulnier
Stas Bekman
...
Lintang Sutawika
Jaesung Tae
Zheng-Xin Yong
Julien Launay
Iz Beltagy
MoE
AI4CE
227
103
0
27 Oct 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR
  Prediction
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Yue Cao
Xiaojiang Zhou
Jiaqi Feng
Peihao Huang
Yao Xiao
Dayao Chen
Sheng Chen
82
39
0
20 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,953
0
04 Mar 2022
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