Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

21 April 2018

Papers citing "Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate"

46 / 46 papers shown

Title
Privacy Preserving Conversion Modeling in Data Clean Room Kungang Li Xiangyi Chen Ling Leng Jiajing Xu Jiankai Sun Behnam Rezaei 12 1 0 20 May 2025
Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems Xiao Zhou Zhongxiang Zhao Hanze Guo 211 0 0 04 May 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
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Sihang Li Cunchun Li Xiang Wang Xiangnan He 71 1 0 01 Feb 2025
Pre-train and Fine-tune: Recommenders as Large Models Zhenhao Jiang Chong Chen Hao Feng Yu Yang Jin Liu Jie Zhang Jia Jia Ning Hu 47 0 0 24 Jan 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark Xiaopeng Li Jingtong Gao Pengyue Jia Xiangyu Zhao Yichao Wang ... Yansen Wang Yuhao Wang Xiangyu Zhao Huifeng Guo Ruiming Tang 67 1 0 17 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 38 0 0 10 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 92 1 0 03 Jan 2025
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 28 0 0 08 Oct 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 43 7 0 24 Jun 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 49 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
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning Qingtian Bian Jiaxing Xu Hui Fang Yiping Ke 24 7 0 09 Sep 2023
Impression-Aware Recommender Systems F. B. P. Maurera Maurizio Ferrari Dacrema P. Castells Paolo Cremonesi AI4TS 42 2 0 15 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation Qi Liu Zhilong Zhou Gangwei Jiang T. Ge Defu Lian 31 12 0 11 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
Simulating News Recommendation Ecosystem for Fun and Profit Guangping Zhang Dongsheng Li Hansu Gu Tun Lu Li Shang Ning Gu 16 0 0 23 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 34 12 0 15 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
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System Jie Zhou Qian Yu Chuanxian Luo Jing Zhang 24 12 0 10 Feb 2023
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales Yu Li Yi Zhang Wei Wu Zimu Zhou Qiang Li 11 2 0 10 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
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations Xuewen Tao Mingming Ha Xiaobo Guo Qiongxu Ma Ho Kei Cheng Wenfang Lin 21 0 0 06 Jan 2023
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction Yuncong Li Fang Wang Shengtao Zhong 29 0 0 18 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 46 43 0 28 Nov 2022
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction Jinyun Li Huiwen Zheng Yuan-Cheng Liu Minfang Lu Lixia Wu Haoyuan Hu 49 7 0 22 Nov 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 50 5 0 21 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models Zhaorui Zhang Xiang-Rong Sheng Yujing Zhang Biye Jiang Shuguang Han Hongbo Deng Bo Zheng CML 46 36 0 04 Sep 2022
Improving Multi-Interest Network with Stable Learning Zhaocheng Liu Yingtao Luo Di Zeng Qiang Liu Daqing Chang Dongying Kong Zhi Chen HAI 48 1 0 14 Jul 2022
Training Entire-Space Models for Target-oriented Opinion Words Extraction Yuncong Li Fang Wang Shengtao Zhong 22 4 0 15 Apr 2022
ESCM $^2$ : Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation Hao Wang Tai-Wei Chang Tianqiao Liu Jia-Bin Huang Zhichao Chen Chao-hui Yu Ruopeng Li Wei Chu 33 87 0 03 Apr 2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning Keqian Li Yifan Hu Logan Palanisamy Lisa Jones A. Gupta J. E. Grigsby Ili Selinger Matt Gillingham Fei Tan 28 1 0 09 Mar 2022
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning Keqian Li Yifan Hu 38 0 0 09 Mar 2022
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising Jun Chen Cheng Chen Huayue Zhang Qing Tan 26 2 0 24 Feb 2022
Challenges and approaches to privacy preserving post-click conversion prediction Conor O'Brien Arvind Thiagarajan Sourav Das Rafael Barreto C. Verma Tim Hsu James Neufeld Jonathan J. Hunt OffRL 18 10 0 29 Jan 2022
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic Weicong Ding Hanlin Tang Jingshuo Feng Lei Yuan Sen Yang ... Dongying Kong Kai Ren Peng Jiang Qiao Lian Ji Liu 44 1 0 20 Aug 2021
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction Conor O'Brien Kin Sum Liu James Neufeld Rafael Barreto Jonathan J. Hunt 24 14 0 18 Aug 2021
Debiased Explainable Pairwise Ranking from Implicit Feedback Khalil Damak Sami Khenissi O. Nasraoui 24 16 0 30 Jul 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
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction Hong Wen Jing Zhang Fuyu Lv Wentian Bao Tianyi Wang Zulong Chen 24 39 0 20 Apr 2021
Deep Latent Emotion Network for Multi-Task Learning Huangbin Zhang Chong Zhao Yu Zhang Danlei Wang Haichao Yang 19 2 0 18 Apr 2021
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 30 125 0 12 Sep 2020
General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang Bing Bai Ye Lin Jian Liang Kun Bai Fei Wang 35 35 0 27 May 2020
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 29 104 0 16 Oct 2019
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction Hong Wen Jing Zhang Yuan Wang Fuyu Lv Wentian Bao Quan Lin Keping Yang 23 9 0 15 Oct 2019
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising Junwei Pan Yizhi Mao A. L. Ruiz Yu Sun Aaron Flores 31 37 0 24 Jul 2019