PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework
in E-commerce

PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce

6 February 2023

Fan Yang

Papers citing "PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce"

17 / 17 papers shown

Title
Decision-Making Context Interaction Network for Click-Through Rate Prediction Xiang Li Shuwei Chen Jian Dong Jin Zhang Yongkang Wang Xingxing Wang Dong Wang 27 9 0 29 Jan 2023
Hierarchically Constrained Adaptive Ad Exposure in Feeds Dagui Chen Qi Yan Chunjie Chen Zhenzhe Zheng Yangsu Liu Zhenjia Ma Chuan Yu Jian Xu Bo Zheng 55 12 0 31 May 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 95 42 0 20 May 2022
NMA: Neural Multi-slot Auctions with Externalities for Online Advertising Guogang Liao Xia Li Ze Wang Fan Yang Muzhi Guan Bingqi Zhu Yongkang Wang Xingxing Wang Dong Wang 40 9 0 20 May 2022
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed Guogang Liao Zewen Wang Xiaoxu Wu Xiaowen Shi Wei Shen Yongkang Wang Xingxing Wang Dong Wang 48 37 0 09 Sep 2021
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model Qiwei Chen Changhua Pei Shanshan Lv Chao Li Junfeng Ge Wenwu Ou LRM CML 3DV 32 66 0 10 Aug 2021
Hit ratio: An Evaluation Metric for Hashtag Recommendation Areej Alsini D. Huynh A. Datta 27 16 0 03 Oct 2020
COLD: Towards the Next Generation of Pre-Ranking System Zhe Wang Liqin Zhao Biye Jiang Guorui Zhou Xiaoqiang Zhu Kun Gai 17 55 0 31 Jul 2020
Seq2Slate: Re-ranking and Slate Optimization with RNNs Irwan Bello Sayali Kulkarni Sagar Jain Craig Boutilier Ed H. Chi Elad Eban Xiyang Luo Alan Mackey Ofer Meshi 88 93 0 04 Oct 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 44 1,056 0 11 Sep 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems Jianxun Lian Xiaohuan Zhou Fuzheng Zhang Zhongxia Chen Xing Xie Guangzhong Sun BDL 42 1,043 0 14 Mar 2018
Learning Tree-based Deep Model for Recommender Systems Ziru Xu Xiang Li Pengye Zhang Guozheng Li Jie He Han Li Kun Gai 53 290 0 08 Jan 2018
Deep & Cross Network for Ad Click Predictions Ruoxi Wang Bin Fu Gang Fu Mingliang Wang 45 1,220 0 17 Aug 2017
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Ziru Xu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 50 1,814 0 21 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 278 129,831 0 12 Jun 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 77 2,625 0 13 Mar 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 122 3,636 0 24 Jun 2016