Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate
Prediction in E-commerce Search

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search

29 March 2022

Xiang Li

Papers citing "Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search"

7 / 7 papers shown

Title
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval Hao Deng Haibo Xing Kanefumi Matsuyama Moyu Zhang Jinxin Hu Hong Wen Yu Zhang Xiaoyi Zeng Jing-Xuan Zhang 36 0 0 17 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 J. Liu Hongda Shen 27 0 0 10 Apr 2025
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings Miguel Alves Gomes Philipp Meisen Tobias Meisen 24 0 0 26 Aug 2024
Deep Context Interest Network for Click-Through Rate Prediction Xuyang Hou Zhe Wang Qi Liu Tan Qu Jia Cheng Jun Lei 3DV 23 7 0 11 Aug 2023
Decision-Making Context Interaction Network for Click-Through Rate Prediction Xiang Li Shuwei Chen Jian Dong Jin Zhang Yongkang Wang Xingxing Wang Dong Wang 19 9 0 29 Jan 2023
Multi-Objective Personalized Product Retrieval in Taobao Search Yukun Zheng Jiang Bian Guang-Xun Meng Chao Zhang Honggang Wang Zhixuan Zhang Sen-Yuan Li Zhuang Tao Qingwen Liu Xiaoyi Zeng 6 11 0 09 Oct 2022
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation Guogang Liao Xiaowen Shi Zehua Wang Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang 27 10 0 01 Apr 2022