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

Title
A Universal Framework for Compressing Embeddings in CTR Prediction Kefan Wang Hao Wang Kenan Song Wei Guo Kai Cheng Hao Sun Yixiao Liu Defu Lian Tong Xu 258 4 0 24 Feb 2025
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic IntegrationThe Web Conference (WWW), 2025 Minjie Hong Yan Xia Liang Luo Jieming Zhu Ye Wang ... Xiaoda Yang Quanyu Dai Zhenhua Dong Zhimeng Zhang Zhou Zhao 188 17 0 21 Feb 2025
Generative Large Recommendation Models: Emerging Trends in LLMs for RecommendationThe Web Conference (WWW), 2025 Hao Wang Wei Guo Guang Dai Jin Yao Chin Yufei Ye Huifeng Guo Yixiao Liu Defu Lian Ruiming Tang Tong Xu 265 9 0 20 Feb 2025
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models Yunjia Xi Muyan Weng Wen Chen Chao Yi Benlin Liu ... Jian Wu Yuning Jiang Qingwen Liu Yong Yu Weinan Zhang LRM 152 5 0 20 Feb 2025
A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation SystemsThe Web Conference (WWW), 2025 Binglei Zhao Houying Qi Guang Xu Mian Ma Xiwei Zhao Feng Mei Sulong Xu Jinghe Hu 149 3 0 17 Feb 2025
IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform Wenhao Wu Xiaojie Li L. xilinx Wang Jingren Zhou Di Wu ... Qingheng Zhang Yin Zhang Shuguang Han Fei Huang Jingshu Chen 152 0 0 11 Feb 2025
Adaptive Domain Scaling for Personalized Sequential Modeling in RecommendersAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Zheng Chai Hui Lu Di Chen Qin Ren Yuchao Zheng Xun Zhou 345 1 0 08 Feb 2025
Large Memory Network for RecommendationThe Web Conference (WWW), 2025 Hui Lu Zheng Chai Y. Zheng Zhe Chen Deping Xie Peng Xu Xun Zhou 222 3 0 08 Feb 2025
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationACM Transactions on Recommender Systems (TORS), 2025 Rong Shan Jiachen Zhu Jianghao Lin Chenxu Zhu Bo Chen Ruiming Tang Yong Yu Weinan Zhang 150 0 0 23 Jan 2025
Personalized Language Model Learning on Text Data Without User IdentifiersKnowledge Discovery and Data Mining (KDD), 2025 Yucheng Ding Yangwenjian Tan Xiangyu Liu Chaoyue Niu Fandong Meng Jie Zhou Ning Liu Fan Wu Guihai Chen 210 2 0 10 Jan 2025
Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device RecommendationKnowledge Discovery and Data Mining (KDD), 2025 Kairui Fu Zheqi Lv Shengyu Zhang Fan Wu Kun Kuang 168 5 0 07 Jan 2025
Improving GenIR Systems Based on User Feedback Jiaxin Mao Zhicheng Dou Min Zhang 767 0 0 06 Jan 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early ExitAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Huixue Zhou Hengrui Gu Xi Liu Kaixiong Zhou Mingfu Liang ... Wen-Yen Chen Yiping Han Bo Long Rui Zhang Tianlong Chen 3DV 137 3 0 04 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 249 0 0 31 Dec 2024
Contrastive Representation for Interactive RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2024 Jingyu Li Zhiyong Feng Dongxiao He Hongqi Chen Qinghang Gao Guoli Wu 235 0 0 24 Dec 2024
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR PredictionThe Web Conference (WWW), 2024 Guoxiao Zhang Yi Wei Yadong Zhang Huajian Feng Qiang Liu 209 4 0 09 Dec 2024
Explainable CTR Prediction via LLM ReasoningWeb Search and Data Mining (WSDM), 2024 Xiaohan Yu Li Zhang C. L. Philip Chen OffRL LRM 213 2 0 03 Dec 2024
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR PredictionKnowledge Discovery and Data Mining (KDD), 2024 Xiang Xu Hao Wang Wei Guo Guang Dai Wanshan Yang R. Yu Yixiao Liu Defu Lian Tong Xu 372 12 0 22 Nov 2024
Scaling Laws for Online Advertisement Retrieval Yunli Wang Zhiyong Yang Zheng Zhang Zhiqiang Wang Zhiqiang Wang ... Kun Gai Yanjie Zhu Jian Yang Shiyang Wen Peng Jiang OffRL 318 10 0 20 Nov 2024
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer LearningIndustrial Conference on Data Mining (IDM), 2022 Ke Xu Ziliang Wang Wei Zheng Yuhao Ma Chenglin Wang Nengxue Jiang Cai Cao 193 5 0 14 Nov 2024
Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-DesignInternational Symposium on High-Performance Computer Architecture (HPCA), 2024 Haojie Ye Yuchen Xia Yuhan Chen Kuan-Yu Chen Yichao Yuan Shuwen Deng Baris Kasikci T. Mudge Nishil Talati 162 0 0 08 Nov 2024
Enhancing ID-based Recommendation with Large Language Models Lei Chen Chen Gao Xiaoyi Du Hengliang Luo Depeng Jin Yong Li Ming Wang 201 11 0 04 Nov 2024
Enhancing CTR Prediction in Recommendation Domain with Search Query RepresentationInternational Conference on Information and Knowledge Management (CIKM), 2024 Yuening Wang M. Chen Yaochen Hu Wei Guo Yingxue Zhang Huifeng Guo Yong Liu Mark Coates 114 5 0 28 Oct 2024
EB-NeRD: A Large-Scale Dataset for News Recommendation Johannes Kruse Kasper Lindskow Saikishore Kalloori Marco Polignano Claudio Pomo Abhishek Srivastava Anshuk Uppal Michael Riis Andersen J. Frellsen 90 26 0 04 Oct 2024
Long-Sequence Recommendation Models Need Decoupled EmbeddingsInternational Conference on Learning Representations (ICLR), 2024 Ningya Feng Junwei Pan Jialong Wu Baixu Chen Ximei Wang Qian Li Xian Hu Jie Jiang Mingsheng Long AI4TS 267 9 0 03 Oct 2024
Enhancing Recommendation with Denoising Auxiliary TaskJournal of Computational Science and Technology (JCST), 2024 Pengsheng Liu Linan Zheng Jiale Chen Guangfa Zhang Yang Xu Jinyun Fang NoLa 126 1 0 25 Sep 2024
SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles Ye Han Lijun Zhang Dejian Meng Xingyu Hu Yixia Lu 142 2 0 23 Sep 2024
EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systems Peng Liu Jiawei Zhu Jiawei Zhu Ming Zhao Bin Wang 198 0 0 18 Sep 2024
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation Luo Ji Gao Liu Mingyang Yin Hongxia Yang Jingren Zhou 182 0 0 11 Sep 2024
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation Hao Wang Yongqiang Han Kefan Wang Kai Cheng Zhen Wang Wei Guo Yong Liu Defu Lian Enhong Chen 153 4 0 21 Aug 2024
Collaborative Cross-modal Fusion with Large Language Model for RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024 Zhongzhou Liu Hao Zhang Kuicai Dong Yuan Fang 248 16 0 16 Aug 2024
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce SearchInternational Conference on Information and Knowledge Management (CIKM), 2024 Enqiang Xu Xinhui Li Zhigong Zhou Jiahao Ji Jinyuan Zhao Dadong Miao Songlin Wang Lin Liu Sulong Xu 180 3 0 11 Aug 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative DecodingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024 Yunjia Xi Hangyu Wang Bo Chen Jianghao Lin Menghui Zhu Wen Liu Ruiming Tang Zhewei Wei Weinan Zhang Yong Yu OffRL 290 6 0 11 Aug 2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation Junfeng Long Hao Wu 96 0 0 09 Aug 2024
MMREC: LLM Based Multi-Modal Recommender SystemInternational Workshop on Semantic and Social Media Adaptation and Personalization (SSMAP), 2024 Jiahao Tian Jinman Zhao Zhenkai Wang Zhicheng Ding 261 32 0 08 Aug 2024
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR PredictionACM Conference on Recommender Systems (RecSys), 2024 Siyuan Li Jie Zhou Chuan Luo Chao Tang Kun Zhang Shixiong Zhao 145 3 0 03 Aug 2024
Semantic Codebook Learning for Dynamic Recommendation ModelsACM Multimedia (MM), 2024 Zheqi Lv Shaoxuan He Ahmed Salem Minxing Zhang Wenqiao Zhang Jingyuan Chen Yang Zhang Fei Wu 246 12 0 31 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation Weibin Liao Yifan Zhu Yanyan Li Qi Zhang Zhonghong Ou Xuesong Li 270 15 0 30 Jul 2024
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024 Lei Huang Weitao Li Chenrui Zhang Jinpeng Wang Xianchun Yi Sheng Chen 133 3 0 29 Jul 2024
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and InsightsInternational Conference on Information and Knowledge Management (CIKM), 2024 Xiang-Rong Sheng Feifan Yang Litong Gong Biao Wang Zhangming Chan ... Bangyu Xiang Ziru Xu Yuning Jiang Jian Xu Bo Zheng 192 26 0 28 Jul 2024
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou Zihua Si Lin Guan Zhongxiang Sun Xiaoxue Zang Jing Lu ... Kai Zheng Chenbin Zhang Ya-Ling Niu Yang Song Kun Gai 176 30 0 23 Jul 2024
Denoising Long- and Short-term Interests for Sequential Recommendation Xinyu Zhang Beibei Li Beihong Jin AI4TS HAI 66 4 0 20 Jul 2024
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 444 13 0 04 Jul 2024
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search Pipi Peng Yunqing Jia Ziqiang Zhou murmurhash Zichong Xiao GNN 72 1 0 25 Jun 2024
Mutual Learning for Finetuning Click-Through Rate Prediction Models Ibrahim Can Yilmaz Said Aldemir 61 2 0 17 Jun 2024
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour ExpansionKnowledge Discovery and Data Mining (KDD), 2024 Jiaxin Deng Shiyao Wang Yuchen Wang Jiansong Qi Liqin Zhao Guorui Zhou Gaofeng Meng 140 16 0 15 Jun 2024
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation Kairui Fu Shengyu Zhang Zheqi Lv Jingyuan Chen Jiwei Li 172 7 0 13 Jun 2024
A Self-boosted Framework for Calibrated Ranking Shunyu Zhang Hu Liu Wentian Bao Enyun Yu Yang Song 212 3 0 12 Jun 2024
Large Language Models Make Sample-Efficient Recommender Systems Jianghao Lin Xinyi Dai Rong Shan Bo Chen Ruiming Tang Yong Yu Weinan Zhang 149 12 0 04 Jun 2024
ReCODE: Modeling Repeat Consumption with Neural ODE Sunhao Dai Changle Qu Sirui Chen Xiao Zhang Jun Xu AI4TS 78 12 0 26 May 2024