Search-based User Interest Modeling with Lifelong Sequential Behavior
Data for Click-Through Rate Prediction

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

10 June 2020

Papers citing "Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction"

16 / 16 papers shown

Title
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 Qingbin Liu Hongda Shen 32 0 0 10 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
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law Songpei Xu Shijia Wang Da Guo Xianwen Guo Qiang Xiao Fangjian Li Chuanjiang Luo 82 0 0 17 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 73 0 0 08 Feb 2025
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System Yongchun Zhu Jingwu Chen Ling Chen Yong Li Feng Zhang Xiao Yang Zuotao Liu 44 0 0 28 Jan 2025
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System Yongchun Zhu Guanyu Jiang Jingwu Chen Feng Zhang Xiao Yang Zuotao Liu AI4TS 29 0 0 28 Jan 2025
AutoSAM: Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems Hao Zhang Mingyue Cheng Qi Liu Ziqiang Liu Junzhe Jiang Enhong Chen AI4TS 55 3 0 03 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy Yuemin Zhang Qingqing Ye Haibo Hu FedML 87 1 0 03 Jan 2025
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation Chengbing Wang Wenjie Qu Fengbin Zhu Jizhi Zhang Tianhao Shi Fuli Feng RALM 34 0 0 23 Dec 2024
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction Guoxiao Zhang Yi Wei Yadong Zhang Huajian Feng Qiang Liu 78 0 0 09 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 47 5 0 22 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
ELASTIC: Efficient Linear Attention for Sequential Interest Compression Jiaxin Deng Shiyao Wang Song Lu Yinfeng Li Xinchen Luo Yuanjun Liu Peixing Xu Guorui Zhou 47 0 0 18 Aug 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 182 0 0 21 May 2024