Product-based Neural Networks for User Response Prediction

1 November 2016

Yong Yu

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

50 / 205 papers shown

Title
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation Hongyu Yao Zijin Hong Hao Chen Yuanchen Bei Zhiqing Li Qijie Shen Zuobin Ying Huan Gong Feiran Huang 109 0 0 12 Jun 2025
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking Shigang Quan Hailong Tan Shui Liu Zhenzhe Zheng Ruihao Zhu Liangyue Li Quan Lu Fan Wu 23 0 0 10 Jun 2025
MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization Ken Yaggel Eyal German Aviel Ben Siman Tov MoE 32 0 0 09 Jun 2025
HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems Haoqiang Yang Congde Yuan Kun Bai Mengzhuo Guo Wei Yang Chao Zhou 19 0 0 26 May 2025
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Kefan Wang Hao Wang Wei Guo Yong Liu Jianghao Lin Defu Lian Enhong Chen 66 0 0 25 May 2025
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Honghao Li Yiwen Zhang Yi Zhang Lei Sang Jieming Zhu 129 0 0 23 May 2025
Enhancing CTR Prediction with De-correlated Expert Networks Jiancheng Wang Mingjia Yin Junwei Pan Ximei Wang Hao Wang Enhong Chen 72 0 0 23 May 2025
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
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 186 2 0 29 Apr 2025
DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash Omkar Gurjar Kin Sum Liu Praveen Kolli Utsaw Kumar Mandar Rahurkar 64 1 0 18 Mar 2025
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders Qijiong Liu Jieming Zhu Lu Fan Kun Wang Hengchang Hu Wei Guo Yong Liu Xiao-Ming Wu 94 0 0 07 Mar 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 94 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 285 23 0 24 Feb 2025
A Universal Framework for Compressing Embeddings in CTR Prediction Kefan Wang Hao Wang Kenan Song Wei Guo Kai Cheng Zechao Li Yixiao Liu Defu Lian Enhong Chen 144 2 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 52 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 149 2 0 05 Feb 2025
Explainable CTR Prediction via LLM Reasoning Xiaohan Yu Li Zhang C. L. Philip Chen OffRL LRM 124 1 0 03 Dec 2024
CAdam: Confidence-Based Optimization for Online Learning Shaowen Wang Anan Liu Jian Xiao Huan Liu Yuekui Yang ... Suncong Zheng Wei-Qiang Zhang Di Wang Jie Jiang Jian Li 117 0 0 29 Nov 2024
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
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 162 7 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 87 4 0 14 Nov 2024
GPRec: Bi-level User Modeling for Deep Recommenders Yejing Wang Dong Xu Xiangyu Zhao Zhiren Mao Peng Xiang Ling Yan Yao Hu Zijian Zhang Xuetao Wei Qiang Liu 98 4 0 28 Oct 2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems África Periánez Ana Fernández del Río Ivan Nazarov Enric Jané Moiz Hassan Aditya Rastogi Dexian Tang 78 11 0 24 Sep 2024
Modeling Reference-dependent Choices with Graph Neural Networks Liang Zhang Guannan Liu Junjie Wu Yong Tan HAI 48 0 0 21 Aug 2024
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation Lei Huang Weitao Li Chenrui Zhang Jinpeng Wang Xianchun Yi Sheng Chen 62 2 0 29 Jul 2024
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction Zhongxiang Fan Zhaocheng Liu Jian Liang Dongying Kong Han Li Peng Jiang Shuang Li Kun Gai 100 0 0 27 Jun 2024
Mutual Learning for Finetuning Click-Through Rate Prediction Models Ibrahim Can Yilmaz Said Aldemir 31 1 0 17 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems Runlong Yu Qixiang Shao Qi Liu Huan Liu Enhong Chen 75 0 0 29 May 2024
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings Yassaman Ebrahimzadeh Maboud Muhammad Adnan Divyat Mahajan Prashant J. Nair AI4TS 124 0 0 22 Mar 2024
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions Zhe Feng Christopher Liaw Zixin Zhou 29 5 0 29 Feb 2024
LiMAML: Personalization of Deep Recommender Models via Meta Learning Ruofan Wang Prakruthi Prabhakar Gaurav Srivastava Tianqi Wang Zeinab S. Jalali ... Divya Venugopalan Aman Gupta Fedor Borisyuk S. Keerthi A. Muralidharan 98 0 0 23 Feb 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization Zirui Zhu Yong Liu Zangwei Zheng Huifeng Guo Yang You 45 0 0 23 Feb 2024
Ads Recommendation in a Collapsed and Entangled World Junwei Pan Wei Xue Ximei Wang Haibin Yu Xun Liu Shijie Quan Xueming Qiu Dapeng Liu Lei Xiao Jie Jiang 101 9 0 22 Feb 2024
UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style Yan Kang Hao Lin Mingjian Yang Shin-Jye Lee 66 0 0 16 Feb 2024
RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution Maxime Manderlier Fabian Lecron 25 0 0 12 Jan 2024
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data Dylan Spicker Amir Nazemi Joy M Hutchinson Paul Fieguth Sharon I. Kirkpatrick Michael P Wallace Kevin W. Dodd 72 1 0 15 Nov 2023
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems Huan Gui Ruoxi Wang Ke Yin Long Jin Maciej Kula Taibai Xu Lichan Hong Ed H. Chi 91 2 0 10 Nov 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 90 12 0 28 Oct 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Weihong Luo Liang Chen Xiuqiang He Xue Liu 93 2 0 23 Oct 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
On the Embedding Collapse when Scaling up Recommendation Models Xingzhuo Guo Kai Yan Ximei Wang Baixu Chen Haohan Wang Mingsheng Long 103 25 0 06 Oct 2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness Liyao Jiang Chenglin Li Haolan Chen Xiao-Rong Gao Xinwang Zhong Yang Qiu Shani Ye Di Niu 59 0 0 15 Sep 2023
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 75 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 210 93 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 56 14 0 17 Aug 2023
Temporal Interest Network for User Response Prediction Haolin Zhou Junwei Pan Xinyi Zhou Xihua Chen Jie Jiang Xiaofeng Gao Guihai Chen 101 9 0 15 Aug 2023
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review Siamak Farshidi Kiyan Rezaee Sara Mazaheri Amir Rahimi Ali Dadashzadeh Morteza Ziabakhsh S. Eskandari S. Jansen 72 6 0 05 Aug 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank Jiarui Jin Xianyu Chen Weinan Zhang Mengyue Yang Yang Wang Yali Du Yong Yu Jun Wang 120 0 0 05 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
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction Haoxuan Li Taojun Hu Zetong Xiong Chunyuan Zheng Fuli Feng Xiangnan He Xiao-Hua Zhou MedIm 31 1 0 03 Aug 2023