Product-based Neural Networks for User Response Prediction

1 November 2016

Yong Yu

Papers citing "Product-based Neural Networks for User Response Prediction"

50 / 74 papers shown

Title
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 39 2 0 29 Apr 2025
Towards An Efficient LLM Training Paradigm for CTR Prediction Allen Lin Renqin Cai Yun He Hanchao Yu Jing Qian Rui Li Qifan Wang James Caverlee 44 0 0 02 Mar 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 72 22 0 24 Feb 2025
Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace Di Li Xiaochang Miao Huiyu Song Chao Chu Hao Xu Mandar Rahurkar 37 0 0 14 Feb 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 104 2 0 05 Feb 2025
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction Xiang Xu Hao Wang Wei Guo Lefei Zhang Wanshan Yang R. Yu Yixiao Liu Defu Lian Enhong Chen 47 5 0 22 Nov 2024
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Ke Xu Ziliang Wang Wei Zheng Yuhao Ma Chenglin Wang Nengxue Jiang Cai Cao 60 4 0 14 Nov 2024
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems Runlong Yu Qixiang Shao Qi Liu Huan Liu Enhong Chen 38 0 0 29 May 2024
UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style Yan Kang Hao Lin Mingjian Yang Shin-Jye Lee 31 0 0 16 Feb 2024
RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution Maxime Manderlier Fabian Lecron 17 0 0 12 Jan 2024
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 33 12 0 05 Sep 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 48 83 0 22 Aug 2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction Dong Wang Kave Salamatian Yunqing Xia Weiwei Deng Qi Zhang 29 13 0 17 Aug 2023
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction Huinan Sun Guang-hong Yu Pengye Zhang Bo Zhang Xingxing Wang Dong Wang 34 6 0 05 Jun 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu Zhe Feng Zachary Robertson Sanmi Koyejo 22 2 0 01 Jun 2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models Zhaocheng Liu Zhongxiang Fan Jian Liang Dongying Kong Han Li 14 1 0 31 May 2023
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models Qijiong Liu Nuo Chen Tetsuya Sakai Xiao-Ming Wu 39 51 0 11 May 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 38 9 0 05 Apr 2023
Adaptive Interventions for Global Health: A Case Study of Malaria África Periánez A. Trister Madhav Nekkar Ana Fernández del Río P. Alonso 30 1 0 03 Mar 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 22 3 0 06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 32 9 0 03 Jan 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction Fang Wang Yingxu Wang Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu SSL 20 42 0 01 Dec 2022
A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms Lianghai Xiao Yixing Zhao Jiwei Chen 21 0 0 31 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction Wenlong Deng Lang Lang Zichen Liu B. Liu 26 0 0 09 Oct 2022
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems Weijie Zhao Xuewu Jiao Xinsheng Luo Jingxue Li Belhal Karimi Ping Li 43 2 0 26 Sep 2022
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction Qiwei Chen Yue Xu Changhua Pei Shanshan Lv Tao Zhuang Junfeng Ge 3DV 23 3 0 25 Sep 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model Xiang-Rong Sheng Jingyue Gao Yueyao Cheng Siran Yang Shuguang Han Hongbo Deng Yuning Jiang Jian Xu Bo Zheng 23 26 0 12 Aug 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 20 1 0 18 Jun 2022
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 40 0 20 May 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 46 7 0 13 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 27 20 0 30 Mar 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 22 11 0 11 Mar 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 28 27 0 17 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising Weijie Zhao Xuewu Jiao Mingqing Hu Xiaoyun Li Xinming Zhang Ping Li 3DV 40 8 0 05 Jan 2022
Practical and Light-weight Secure Aggregation for Federated Submodel Learning Jamie Cui Cen Chen Tiandi Ye Li Wang FedML 36 2 0 02 Nov 2021
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 28 2 0 19 Oct 2021
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation Yiyu Liu Qian Liu Yu Tian Changping Wang Yanan Niu Yang Song Chenliang Li 26 53 0 28 Sep 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 23 4 0 26 Sep 2021
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs Yuandong Wang Hongzhi Yin Lian Wu Tong Chen Chunyang Liu 20 7 0 14 Sep 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 91 19 0 06 Aug 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 30 60 0 12 Jun 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du 28 46 0 19 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 30 18 0 22 Apr 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 110 0 21 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 30 12 0 05 Apr 2021
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 28 57 0 22 Dec 2020
Field-wise Learning for Multi-field Categorical Data Zhibin Li Jian Zhang Yongshun Gong Yazhou Yao Qiang Wu CML OOD 14 9 0 01 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 25 18 0 25 Nov 2020
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 36 56 0 08 Nov 2020