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NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for
  Click-Through Rate Prediction

NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction

13 September 2024
Dogukan Aksu
I. H. Toroslu
Hasan Davulcu
ArXiv (abs)PDFHTML

Papers citing "NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction"

4 / 4 papers shown
Title
A New Creative Generation Pipeline for Click-Through Rate with Stable
  Diffusion Model
A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model
Hao Yang
Jianxin Yuan
Shuai Yang
Linhe Xu
Shuo Yuan
Yifan Zeng
63
11
0
17 Jan 2024
Reinforcement Learning to Optimize Lifetime Value in Cold-Start
  Recommendation
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation
Luo Ji
Qin Qi
Bingqing Han
Hongxia Yang
OffRL
45
28
0
20 Aug 2021
AutoInt: Automatic Feature Interaction Learning via Self-Attentive
  Neural Networks
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
CML
87
857
0
29 Oct 2018
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
122
2,654
0
13 Mar 2017
1