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
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 129 1 0 31 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 51 4 0 18 Jul 2023
Confidence Ranking for CTR Prediction Jian Zhu Congcong Liu Pei Wang Xiwei Zhao Zhangang Lin Jingping Shao 53 2 0 28 Jun 2023
How Can Recommender Systems Benefit from Large Language Models: A Survey Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen ... Chenxu Zhu Huifeng Guo Yong Yu Ruiming Tang Weinan Zhang LRM 187 224 0 09 Jun 2023
Revisiting Neural Retrieval on Accelerators Jiaqi Zhai Zhaojie Gong Yueming Wang Xiao Sun Zheng Yan Fu Li Xing Liu 79 12 0 06 Jun 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 46 6 0 05 Jun 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems Pan Li Yuyan Wang Ed H. Chi Minmin Chen 38 2 0 02 Jun 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu Zhe Feng Zachary Robertson Sanmi Koyejo 44 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 61 1 0 31 May 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
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 54 5 0 25 May 2023
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems Menglin Kong Muzhou Hou Shaojie Zhao Feng Liu Ri-Qi Su Ying-Hsiu Chen 40 6 0 20 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 103 63 0 11 May 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 80 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 54 1 0 03 Mar 2023
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up Shenzheng Zhang Qiurong Tan Xinzhi Zheng Yi Ren Xunming Zhao 48 0 0 28 Feb 2023
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation Hanyang Liu Shuai Yang Feng Qi Shuaiwen Wang 78 0 0 25 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 84 3 0 06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 66 9 0 03 Jan 2023
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction Yachen Yan Liubo Li 58 0 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 57 47 0 01 Dec 2022
A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms Lianghai Xiao Yixing Zhao Jiwei Chen 23 0 0 31 Oct 2022
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling Zuowu Zheng Xiaofeng Gao Junwei Pan Qicong Luo Guihai Chen Dapeng Liu Jie Jiang 86 6 0 27 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 36 2 0 21 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction Wenlong Deng Lang Lang Ziqiang Liu B. Liu 106 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 70 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 25 3 0 25 Sep 2022
Boost CTR Prediction for New Advertisements via Modeling Visual Content Tan Yu Zhipeng Jin Jie Liu Yi Yang Hongliang Fei Ping Li 66 8 0 23 Sep 2022
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction P. Zhang Zheng Zheng Junlin Zhang 79 10 0 12 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 78 28 0 12 Aug 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
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 113 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 148 43 0 20 May 2022
AutoField: Automating Feature Selection in Deep Recommender Systems Yejing Wang Xiang Zhao Tong Xu Xianren Wu 65 67 0 19 Apr 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 86 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 107 7 0 04 Apr 2022
On the Adaptation to Concept Drift for CTR Prediction Congcong Liu Yuejiang Li Fei Teng Xiwei Zhao Changping Peng Zhangang Lin Jinghe Hu Jingping Shao 24 2 0 01 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 59 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 52 12 0 11 Mar 2022
A Real-World Implementation of Unbiased Lift-based Bidding System Daisuke Moriwaki Yuta Hayakawa Akira Matsui Yuta Saito Isshu Munemasa Masashi Shibata 26 2 0 23 Feb 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 118 100 0 22 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction Wensen Jiang Yizhu Jiao Qingqin Wang Chuanming Liang Lijie Guo Yao Zhang Zhijun Sun Yun Xiong Yangyong Zhu 39 18 0 06 Feb 2022
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation Qi Shen Hong Wen Wanjie Tao Jing Zhang Fuyu Lv Zulong Chen Zhao Li 62 47 0 05 Feb 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 49 28 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 75 8 0 05 Jan 2022
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction Xiaofeng Pan Yibin Shen Jing Zhang Xu He Yang Huang Hong Wen Chengjun Mao Bo Cao 47 2 0 27 Dec 2021
Dynamic Parameterized Network for CTR Prediction Jian Zhu Congcong Liu Pei Wang Xiwei Zhao Guangpeng Chen Junsheng Jin Changping Peng Zhangang Lin Jingping Shao 49 2 0 09 Nov 2021
A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries Anna Guitart A. Heydari Eniola Olaleye Jelena Ljubicic Ana Fernández del Río África Periánez Lauren Bellhouse 31 6 0 02 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning Jamie Cui Cen Chen Tiandi Ye Li Wang FedML 76 2 0 02 Nov 2021
Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising Xu Li Michelle Ma Zhang Youjun Tong Zhenya Wang 35 9 0 26 Oct 2021