Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

9 April 2019

Ruiming Tang

Papers citing "Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction"

33 / 33 papers shown

Title
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction Yu Cui Feng Liu Jiawei Chen Yudi Wu Changwang Zhang Jun Wang Yuegang Sun Xiaohu Yang Can Wang 114 0 0 20 May 2025
$FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer$ FuXi- $\alpha$ : Scaling Recommendation Model with Feature Interaction Enhanced Transformer Yufei Ye Wei Guo Jin Yao Chin Hao Wang Hong Zhu ... Yuyang Ye Yixiao Liu Ruiming Tang Defu Lian Enhong Chen 149 2 0 05 Feb 2025
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models Kexin Zhang Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Kaize Ding Xiuqiang He Xue Liu 105 2 0 24 Nov 2024
Retrieval-Oriented Knowledge for Click-Through Rate Prediction Huanshuo Liu Bo Chen Menghui Zhu Jianghao Lin Jiarui Qin Yang Yang Hao Zhang Ruiming Tang 51 3 0 28 Apr 2024
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 120 9 0 18 Dec 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction Jianghao Lin Bo Chen Hangyu Wang Yunjia Xi Yanru Qu Xinyi Dai Kangning Zhang Ruiming Tang Yong Yu Weinan Zhang 174 34 0 13 Oct 2023
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 210 93 0 22 Aug 2023
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction S. Silva R. Silva 35 0 0 15 Aug 2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction Jianghao Lin Yanru Qu Wei Guo Xinyi Dai Ruiming Tang Yong Yu Weinan Zhang 72 21 0 03 Aug 2023
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer Kaize Ding Albert Jiongqian Liang Bryan Perrozi Ting-Li Chen Ruoxi Wang Lichan Hong Ed H. Chi Huan Liu D. Cheng 63 14 0 27 May 2023
FairRec: Fairness Testing for Deep Recommender Systems Hui Guo Jinfeng Li Jingyi Wang Xiangyu Liu Donghai Hong Zehong Hu Rong Zhang Hui Xue 62 8 0 14 Apr 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction Fang Wang Yingxu Wang Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu SSL 57 47 0 01 Dec 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction Tianwei Cao Qianqian Xu Zhiyong Yang Qingming Huang 53 7 0 28 Jun 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 107 7 0 04 Apr 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 52 12 0 11 Mar 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 118 100 0 22 Feb 2022
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction Feng Li Bencheng Yan Qingqing Long Pengjie Wang Wei Lin Jian Xu Bo Zheng GNN 123 17 0 17 May 2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction Runlong Yu Yuyang Ye Qi Liu Zihan Wang Chunfeng Yang Yucheng Hu Enhong Chen 69 19 0 22 Apr 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 82 113 0 21 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 85 21 0 17 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 133 12 0 05 Apr 2021
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 33 0 0 24 Feb 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 115 50 0 07 Jan 2021
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 138 57 0 08 Nov 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 96 130 0 12 Sep 2020
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 67 31 0 04 Sep 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 70 17 0 27 Aug 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data Zhaocheng Liu Qiang Liu Haoli Zhang Yuntian Chen 84 13 0 22 Aug 2020
Evolving Context-Aware Recommender Systems With Users in Mind Amit Livne Eliad Shem Tov Adir Solomon Achiya Elyasaf Bracha Shapira Lior Rokach 52 23 0 30 Jul 2020
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate Amit Livne Roy Dor Eyal Mazuz Tamar Didi Bracha Shapira Lior Rokach 18 4 0 26 Jul 2020
Graph Convolution Machine for Context-aware Recommender System Jiancan Wu Xiangnan He Xiang Wang Qifan Wang Weijia Chen Jianxun Lian Xing Xie GNN 70 71 0 30 Jan 2020
FLEN: Leveraging Field for Scalable CTR Prediction Wenqiang Chen Lizhang Zhan Yuanlong Ci Minghua Yang Chen Lin Dugang Liu 59 23 0 12 Nov 2019
Deep Personalized Re-targeting Meisam Hejazinia Pavlos Mitsoulis-Ntompos Serena Zhang 41 2 0 03 Jul 2019