Deep Interest Network for Click-Through Rate Prediction

21 June 2017

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

50 / 149 papers shown

Title
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao Yue Meng Cheng Guo Yi Cao Tong Liu Bo Zheng 26 0 0 12 May 2025
Towards Large-scale Generative Ranking Yanhua Huang Y. Chen Xiong Cao Rui Yang Mingliang Qi ... L. Chen Weihang Chen Min Zhu Ruiwen Xu Lei Zhang 45 0 0 07 May 2025
$1$^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge$ 1 $^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge Junwei Xu Zehao Zhao Xiaoyu Hu Zhenjie Song 35 0 0 06 May 2025
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 30 2 0 29 Apr 2025
Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection Zhikai Wang Yanyan Shen Zexi Zhang Li He Yichun Li Hao Gu Yinghua Zhang 52 0 0 27 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
Generate the browsing process for short-video recommendation Chao Feng Yanze Zhang Chenghao Zhang 27 0 0 02 Apr 2025
A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems Binglei Zhao Houying Qi Guang Xu Mian Ma Xiwei Zhao Feng Mei Sulong Xu Jinghe Hu 57 0 0 17 Feb 2025
Personalized Language Model Learning on Text Data Without User Identifiers Yucheng Ding Yangwenjian Tan Xiangyu Liu Chaoyue Niu Fandong Meng Jie Zhou Ning Liu Fan Wu Guihai Chen 43 2 0 10 Jan 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 63 5 0 03 Jan 2025
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 55 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
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems Peng Liu Jiawei Zhu Cong Xu Ming Zhao Bin Wang 31 1 0 18 Sep 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
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 114 0 0 21 May 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 21 0 0 23 Apr 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 23 13 0 22 Apr 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 24 6 0 18 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 39 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
UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style Yan Kang Hao Lin Mingjian Yang Shin-Jye Lee 28 0 0 16 Feb 2024
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems Qinyi Luo Penghan Wang Wei Zhang Fan Lai Jiachen Mao ... Jun Song Wei-Yu Tsai Shuai Yang Yuxi Hu Xuehai Qian 45 0 0 09 Jan 2024
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation Luo Ji Jiayu Mao Hailong Shi Qian Li Yunfei Chu Hongxia Yang 16 0 0 28 Dec 2023
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
ACCL+: an FPGA-Based Collective Engine for Distributed Applications Zhenhao He Dario Korolija Yu Zhu Benjamin Ramhorst Tristan Laan L. Petrica Michaela Blott Gustavo Alonso GNN 21 6 0 18 Dec 2023
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing Feiyang Han Yimin Wei Zhaofeng Liu Yanxing Qi 25 1 0 24 Nov 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 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 30 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 15 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
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 38 6 0 06 Jul 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
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao Jingyue Gao Shuguang Han Han Zhu Siran Yang Yuning Jiang Jian Xu Bo Zheng 33 11 0 06 Jun 2023
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models Qijiong Liu Nuo Chen Tetsuya Sakai Xiao-Ming Wu 28 50 0 11 May 2023
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation Ming Li Naiyin Liu Xiaofeng Pan Yang Huang Ningning Li Yingmin Su Chengjun Mao Bo Cao 18 4 0 10 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
Effective Visualization and Analysis of Recommender Systems Hao Wang 15 1 0 02 Mar 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity Hongkang Li M. Wang Sijia Liu Pin-Yu Chen ViT MLT 35 56 0 12 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 74 51 0 10 Feb 2023
Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model Ido Zehori Nevo Itzhak Yuval Shahar Mia Dor Schiller 11 0 0 07 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 27 9 0 03 Feb 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 27 7 0 10 Jan 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
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval L. Xiao T. Yamasaki AI4TS 21 2 0 27 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 101 7 0 12 Dec 2022
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems Hao Wang 14 4 0 06 Dec 2022
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