Deep & Cross Network for Ad Click Predictions

17 August 2017

Papers citing "Deep & Cross Network for Ad Click Predictions"

50 / 163 papers shown

Title
Sybil-based Virtual Data Poisoning Attacks in Federated Learning Changxun Zhu Qilong Wu Lingjuan Lyu Shibei Xue AAML FedML 28 0 0 15 May 2025
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders Zheng Chai Qin Ren Xijun Xiao Heng Yang Bo Han ... Xiang Sun Yaocheng Tan Peng Xu Yuchao Zheng Di Wu 51 0 0 07 May 2025
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics Cong Xu Wenbin Liang Mo Yu Anan Liu Kaipeng Zhang Lizhuang Ma Yufei Guo Jun Wang Wenbo Zhang MQ 57 0 0 01 May 2025
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 42 2 0 29 Apr 2025
Quadratic Interest Network for Multimodal Click-Through Rate Prediction Honghao Li Hanwei Li Jing Zhang Yi-hong Zhang Ziniu Yu Lei Sang Yiwen Zhang 214 0 0 24 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu Qingbin Liu Hongda Shen 34 0 0 10 Apr 2025
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network Ali Eslamian Alireza Afzal Aghaei Qiang Cheng LMTD 82 0 0 09 Apr 2025
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction Rong Chen Shuzhi Cao Ailong He Shuguang Han Jufeng Chen 59 0 0 24 Mar 2025
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning Ali Eslamian Qiang Cheng 48 0 0 12 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
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Yiming Li 46 2 0 20 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
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders Zheng Chai Hui Lu Di Chen Qin Ren Yuchao Zheng Xun Zhou 73 0 0 08 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
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking Ilqar Ramazanli Hamid Eghbalzadeh Xiaoyi Liu Yang Wang Jiaxiang Fu Kaushik Rangadurai Sem Park Bo Long Xue Feng 54 0 0 05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 73 7 0 04 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Sihang Li Cunchun Li Xiang Wang Xiangnan He 73 1 0 01 Feb 2025
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System Yongchun Zhu Jingwu Chen Ling Chen Yong Li Feng Zhang Xiao Yang Zuotao Liu 47 0 0 28 Jan 2025
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation Dongjie Wang Yanyong Huang Wangyang Ying Haoyue Bai Nanxu Gong ... Meng Xiao Pengfei Wang P. Wang Hui Xiong Yanjie Fu LMTD 53 6 0 17 Jan 2025
AutoSAM: Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems Han Zhang Mingyue Cheng Qi Liu Zichen Liu Junzhe Jiang Enhong Chen AI4TS 55 3 0 03 Jan 2025
Prompt Tuning for Item Cold-start Recommendation Yuezihan Jiang Gaode Chen Wenhan Zhang Rongxiang Weng Yinjie Jiang Qi Zhang Jingjian Lin Peng Jiang Kaigui Bian VLM 47 0 0 24 Dec 2024
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
Cross Spline Net and a Unified World Linwei Hu Ye Jin Choi V. Nair 20 0 0 24 Oct 2024
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model Haoye Chai Shiyuan Zhang Xiaoqian Qi Yong Li 32 0 0 20 Oct 2024
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation Chengzhi Lin Shuchang Liu Chuyuan Wang Yongqi Liu 27 4 0 17 Jul 2024
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems Runlong Yu Qixiang Shao Qi Liu Huan Liu Enhong Chen 40 0 0 29 May 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System Lei Zheng Ning Li Weinan Zhang Yong Yu AI4TS 41 0 0 24 Apr 2024
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty Peijie Sun Yifan Wang Min Zhang Chuhan Wu Yan Fang Hong Zhu Yuan Fang Meng Wang OffRL 38 10 0 12 Apr 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation Junda Wu Cheng-Chun Chang Tong Yu Zhankui He Jianing Wang Yupeng Hou Julian McAuley LRM RALM 39 20 0 11 Mar 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems Lichi Li Zainul Din Zhen Tan Sam London Tianlong Chen Ajay Daptardar 52 0 0 22 Feb 2024
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph Qian Zhao Hao Qian Ziqi Liu Gong-Duo Zhang Lihong Gu KELM 29 14 0 21 Feb 2024
UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style Yan Kang Hao Lin Mingjian Yang Shin-Jye Lee 39 0 0 16 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn Fedor Borisyuk Mingzhou Zhou Qingquan Song Siyu Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 31 1 0 10 Feb 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems Zhiguang Yang Lu Wang Chun Gan Liufang Sang Haoran Wang Wenlong Chen Jie He Changping Peng Zhangang Lin Jingping Shao 21 1 0 20 Dec 2023
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Wei Zhang Dai Li Chen Liang Fang Zhou Zhongke Zhang ... Huayu Li Yunnan Wu Zhan Shu Mindi Yuan Sri Reddy 35 7 0 16 Nov 2023
DistDNAS: Search Efficient Feature Interactions within 2 Hours Tunhou Zhang W. Wen Igor Fedorov Xi Liu Buyun Zhang ... Wen-Yen Chen Yiping Han Feng Yan Hai Helen Li Yiran Chen 21 1 0 01 Nov 2023
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training Selim F. Yilmaz Benjamin Ghaemmaghami A. Singh Benjamin Cho Leo Orshansky Lei Deng Michael Orshansky AI4TS 28 0 0 27 Sep 2023
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
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services Guyu Jiang Xiaoyun Li Rongrong Jing Ruoqi Zhao Xingliang Ni Guodong Cao Ning Hu 36 3 0 10 Aug 2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning Menglin Kong Ri-Qi Su Shaojie Zhao Muzhou Hou MoE 31 0 0 24 Jul 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data Hongmin Cai Xiaoke Huang Zheng Liu Wenxiong Liao Haixing Dai ... Dajiang Zhu Hui Ren Quanzheng Li Tianming Liu Xiang Li 40 18 0 05 Jul 2023
Contrastive Multi-view Framework for Customer Lifetime Value Prediction Chuhan Wu Jingjie Li Qinglin Jia Hong Zhu Yuan Fang Ruiming Tang 44 2 0 26 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
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
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 47 0 0 23 Mar 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce Xiaowen Shi Fan Yang Ze Wang Xiaoxu Wu Muzhi Guan Guogang Liao Yongkang Wang Xingxing Wang Dong Wang 19 3 0 06 Feb 2023
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads A. Awad Denisa Roberts Eden Dolev Andrea Heyman Zahra Ebrahimzadeh Zoe Weil Marcin Mejran Vaibhav Malpani Mahir Yavuz 41 6 0 02 Feb 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 22 3 0 06 Jan 2023