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 / 109 papers shown

Title
Interest Changes: Considering User Interest Life Cycle in Recommendation System Yinjiang Cai Jiangpan Hou Yangping Zhu Yuan Nie 21 0 0 13 May 2025
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 37 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 Jiaheng Liu Hongda Shen 32 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 36 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 59 0 0 24 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 77 0 0 19 Mar 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration Siguang Huang Yunli Wang Lili Mou Huayue Zhang Ziru Xu Chuan Yu Bo Zheng 62 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
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders Zheng Chai Hui Lu Di Chen Qin Ren Yuchao Zheng Xun Zhou 73 0 0 08 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
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 ... Yibo Wang Yuhao Wang Xiangyu Zhao Huifeng Guo Ruiming Tang 65 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 26 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 Lefei Zhang Wanshan Yang R. Yu Y. Liu Defu Lian Enhong Chen 43 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 60 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
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning Sejoon Oh Moumita Bhattacharya Yesu Feng Sudarshan Lamkhede 40 1 0 25 Jul 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 31 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 38 0 0 29 May 2024
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search Huimu Wang Mingming Li Dadong Miao Songlin Wang Guoyu Tang Lin Liu Sulong Xu Jinghe Hu 26 1 0 24 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 167 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 38 2 0 21 May 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System Lei Zheng Ning Li Weinan Zhang Yong Yu AI4TS 41 0 0 24 Apr 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 47 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 21 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 35 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
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
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 40 82 0 22 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
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 30 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
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu Zhe Feng Zachary Robertson Sanmi Koyejo 19 2 0 01 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 24 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 24 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 32 13 0 04 Apr 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation Guoqiang Sun Yibin Shen Sijing Zhou Xiang Chen Hongyan Liu Chunming Wu Chenyi Lei Xianhui Wei Fei Fang 20 10 0 28 Feb 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce Xiaowen Shi Fan Yang Ze Wang Xiaoxu Wu Muzhi Guan Guogang Liao Yongkang Wang Xingxing Wang Dong Wang 19 3 0 06 Feb 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 36 6 0 02 Feb 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 26 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 47 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 25 6 0 22 Nov 2022
Deep Intention-Aware Network for Click-Through Rate Prediction Yaxian Xia Yinhao Cao Sihao Hu Tong Liu Lingling Lu 30 4 0 16 Nov 2022