Deep Interest Evolution Network for Click-Through Rate Prediction

11 September 2018

Chang Zhou

Papers citing "Deep Interest Evolution Network for Click-Through Rate Prediction"

50 / 92 papers shown

Title
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders Zheng Chai Qin Ren Xijun Xiao H. Yang Bo Han ... Xiang Sun Yaocheng Tan Peng Xu Yuchao Zheng Di Wu 46 0 0 07 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation Zhikai Wang Yanyan Shen AI4TS 33 0 0 30 Apr 2025
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 32 2 0 29 Apr 2025
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation Guoquan Wang Qiang Luo Weisong Hu Pengfei Yao Wencong Zeng Guorui Zhou Kun Gai AI4TS 56 0 0 23 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
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation Zhiyu He Zhixin Ling Jiayu Li Zhiqiang Guo Weizhi Ma Xinchen Luo Min Zhang G. Zhou 31 0 0 05 Apr 2025
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction Rong Chen Shuzhi Cao Ailong He Shuguang Han Jufeng Chen 54 0 0 24 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 74 0 0 19 Mar 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Siguang Huang Yunli Wang Lili Mou Huayue Zhang Han Zhu Chuan Yu Bo Zheng 60 15 0 13 Mar 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
Large Memory Network for Recommendation Hui Lu Zheng Chai Y. Zheng Zhe Chen Deping Xie Peng Xu Xun Zhou 56 0 0 08 Feb 2025
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders Zheng Chai Hui Lu Di Chen Qin Ren Yuchao Zheng Xun Zhou 56 0 0 08 Feb 2025
Pre-train and Fine-tune: Recommenders as Large Models Zhenhao Jiang Cheng Chen Hao Feng Yu Yang Jin Liu Jie Zhang Jia Jia Ning Hu 39 0 0 24 Jan 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark Xiaopeng Li Jingtong Gao Pengyue Jia Xiangyu Zhao Yichao Wang ... Yuhui Wang Yuhao Wang Xiangyu Zhao Huifeng Guo Ruiming Tang 57 1 0 17 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 82 1 0 03 Jan 2025
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation Chuan He Yongchao Liu Qiang Li Weiqiang Wang Xin Fu Xinyi Fu Chuntao Hong Xinwei Yao 21 0 0 31 Dec 2024
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction Xiang Xu Hao Wang Wei Guo L. Zhang Wanshan Yang R. Yu Y. Liu Defu Lian Enhong Chen 35 5 0 22 Nov 2024
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Ke Xu Ziliang Wang Wei Zheng Yuhao Ma Chenglin Wang Nengxue Jiang Cai Cao 58 4 0 14 Nov 2024
Long-Sequence Recommendation Models Need Decoupled Embeddings Ningya Feng Junwei Pan Jialong Wu Baixu Chen Ximei Wang Qian Li Xian Hu Jie Jiang Mingsheng Long AI4TS 40 2 0 03 Oct 2024
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data Hossein Entezari Zarch Abdulla Alshabanah Chaoyi Jiang Murali Annavaram 25 1 0 11 Jul 2024
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion Jiaxin Deng Shiyao Wang Yuchen Wang Jiansong Qi Liqin Zhao Guorui Zhou Gaofeng Meng 28 3 0 15 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems Runlong Yu Qixiang Shao Qi Liu Huan Liu Enhong Chen 33 0 0 29 May 2024
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems Peng Liu Nian Wang Cong Xu Min Zhao Bin Wang Yi Ren 123 0 0 21 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Yuang Zhao Zhaocheng Du Qinglin Jia Linxuan Zhang Zhenhua Dong Ruiming Tang 32 2 0 21 May 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 41 0 0 22 Feb 2024
GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model Jianghui Zhou Ya Gao Jie Liu Xuemin Zhao Zhaohua Yang Yue Wu Lirong Shi 51 0 0 21 Feb 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems Zhiguang Yang Lu Wang Chun Gan Liufang Sang Haoran Wang Wenlong Chen Jie He Changping Peng Zhangang Lin Jingping Shao 16 1 0 20 Dec 2023
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Wei Zhang Dai Li Chen Liang Fang Zhou Zhongke Zhang ... Huayu Li Yunnan Wu Zhan Shu Mindi Yuan Sri Reddy 27 7 0 16 Nov 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu Qi Liu Kai Zhang Yuren Zhang Chao Song Min Hou Yuqing Yuan Zhihao Ye Zaixin Zhang Sanshi Lei Yu 35 2 0 15 Oct 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Jianghao Lin Rongjie Shan Chenxu Zhu Kounianhua Du Bo Chen Shigang Quan Ruiming Tang Yong Yu Weinan Zhang LRM 34 79 0 22 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation Qi Liu Zhilong Zhou Gangwei Jiang T. Ge Defu Lian 18 12 0 11 Aug 2023
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services Guyu Jiang Xiaoyun Li Rongrong Jing Ruoqi Zhao Xingliang Ni Guodong Cao Ning Hu 28 3 0 10 Aug 2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce Juan Gong Zhe Chen Chao Ma Zhuojian Xiao Hong Wang Guoyu Tang Lin Liu Sulong Xu Bo Long Yunjiang Jiang 16 4 0 08 Jun 2023
Large Language Models for User Interest Journeys Konstantina Christakopoulou Alberto Lalama Cj Adams Iris Qu Yifat Amir ... Dina Bseiso Sarah Scodel Lucas Dixon Ed H. Chi Minmin Chen 19 25 0 24 May 2023
MTrainS: Improving DLRM training efficiency using heterogeneous memories H. Kassa Paul Johnson Jason B. Akers Mrinmoy Ghosh Andrew Tulloch Dheevatsa Mudigere Jongsoo Park Xing Liu R. Dreslinski E. K. Ardestani 22 1 0 19 Apr 2023
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search Qijie Shen Hong Wen Jing Zhang Qi Rao 27 13 0 04 Apr 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 29 9 0 03 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 30 6 0 02 Feb 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 24 9 0 03 Jan 2023
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction Jinyun Li Huiwen Zheng Yuan-Cheng Liu Minfang Lu Lixia Wu Haoyuan Hu 39 7 0 22 Nov 2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service Boya Du Shaochuan Lin Jiong Gao Xiyu Ji Mengya Wang Taotao Zhou Hengxu He Jia Jia Ning Hu 20 6 0 22 Nov 2022
Deep Intention-Aware Network for Click-Through Rate Prediction Yaxian Xia Yinhao Cao Sihao Hu Tong Liu Lingling Lu 25 4 0 16 Nov 2022
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud Fei Xu Jianian Xu Jiabin Chen Li Chen Ruitao Shang Zhi Zhou Fengyuan Liu GNN 19 35 0 03 Nov 2022
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation Yifang Qin Yifan Wang Fang Sun Wei Ju Xuyang Hou Zhe Wang Jia Cheng Jun Lei Ming Zhang 33 45 0 29 Oct 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang Qitian Wu Qingsong Wen Zhiqiang Zhou Liang Sun Junchi Yan OODD OOD 19 20 0 24 Oct 2022
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning Diddigi Raghu Ram Bharadwaj Lakshya Kumar Saif Jawaid Sreekanth Vempati 28 0 0 20 Oct 2022
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking Xu Yuan Chengjun Xu Qiwei Chen Tao Zhuang Hongjie Chen C. Li Junfeng Ge AI4TS 25 0 0 19 Oct 2022
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources Baolin Li S. Samsi V. Gadepally Devesh Tiwari 22 11 0 12 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu Rongjun Qin Junjie Huang Xinyi Dai Yang Yu Yong Yu Weinan Zhang 44 2 0 11 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 20 28 0 05 Oct 2022