Hierarchically Modeling Micro and Macro Behaviors via Multi-Task
Learning for Conversion Rate Prediction

Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction

20 April 2021

Jing Zhang

Papers citing "Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction"

16 / 16 papers shown

Title
Joint Modeling in Recommendations: A Survey Xiangyu Zhao Yichao Wang Bo Chen Jingtong Gao Yuhao Wang Xiaopeng Li Pengyue Jia Qiang Liu Huifeng Guo Ruiming Tang 39 0 0 28 Feb 2025
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context Moyu Zhang Yong Tang Jinxin Hu Yu Zhang AI4TS 43 0 0 15 Apr 2024
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model Wentao Ouyang Xiuwu Zhang Chao Guo Shukui Ren Yupei Sui ... Jinmei Luo Yunfeng Chen Dongbo Xu Xiangzheng Liu Yanlong Du 24 3 0 26 Mar 2024
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation Liangcai Su Junwei Pan Ximei Wang Xi Xiao Shijie Quan Xihua Chen Jie Jiang 25 15 0 16 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation Qi Liu Zhilong Zhou Gangwei Jiang T. Ge Defu Lian 23 12 0 11 Aug 2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint Zhenhao Jiang Biao Zeng Hao Feng Jin Liu Jicong Fan Jie Zhang Jia Jia Ning Hu Xingyu Chen Xuguang Lan 27 3 0 18 Jul 2023
Contrastive Learning for Conversion Rate Prediction W. Ouyang Rui Dong Xiuwu Zhang Chao Guo Jinmei Luo Xiangzheng Liu Yanlong Du 11 0 0 12 Jul 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach Zhangming Chan Yu Zhang Shuguang Han Yong Bai Xiang-Rong Sheng ... Jiacen Hu Baolin Liu Yuning Jiang Jian Xu Bo Zheng 23 10 0 22 May 2023
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning Xuanhua Yang Jianxin R. Zhao Shaoguo Liu Liangji Wang Bo Zheng 20 1 0 10 Mar 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
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications Hao Wang Zhichao Chen Jiajun Fan Yuxin Huang Weiming Liu Xinggao Liu CML 31 3 0 20 Oct 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 50 5 0 21 Sep 2022
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems Jia-Qi Yang De-Chuan Zhan 18 10 0 01 Jun 2022
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios Xiaofeng Pan Ming Li Jing Zhang Keren Yu Luping Wang Hong Wen Chengjun Mao Bo Cao 10 8 0 27 Dec 2021
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations Junning Liu Zijie Xia Yu Lei Xinjian Li Xu Wang 15 2 0 26 Oct 2021
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios Qi Shen Wanjie Tao Jing Zhang Hong Wen Zulong Chen Quan Lu 33 71 0 13 Oct 2021