DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

13 March 2017

Ruiming Tang

Papers citing "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"

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Title
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Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models Kexin Zhang Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Kaize Ding Xiuqiang He Xue Liu 105 2 0 24 Nov 2024
An accuracy improving method for advertising click through rate prediction based on enhanced xDeepFM model Xiaowei Xi Song Leng Yuqing Gong Dalin Li 99 1 0 21 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 87 4 0 14 Nov 2024
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation Junchen Fu Xuri Ge Xin Xin Alexandros Karatzoglou Ioannis Arapakis Kaiwen Zheng Yongxin Ni J. Jose 62 3 0 05 Nov 2024
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Towards Scalable Semantic Representation for Recommendation Taolin Zhang Junwei Pan Jinqiao Wang Yaohua Zha Tao Dai ... Xiaoxiang Deng Yuan Wang Ming Yue Jie Jiang Shu-Tao Xia 118 4 0 12 Oct 2024
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System F. I. S. Kevin Zhou Yaning Huang Dong Liang Dai Li Zhongke Zhang ... Emanuele Maccherani Taha Hayat John Guo Varna Puvvada Uladzimir Pashkevich 80 0 0 09 Oct 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 218 0 0 08 Oct 2024
STTM: A New Approach Based Spatial-Temporal Transformer And Memory Network For Real-time Pressure Signal In On-demand Food Delivery Jiang Wang Haibin Wei Xiaowei Xu Jiacheng Shi Jian Nie Longzhi Du Taixu Jiang AI4TS 417 0 0 29 Sep 2024
Enhancing Recommendation with Denoising Auxiliary Task Pengsheng Liu Linan Zheng Jiale Chen Guangfa Zhang Yang Xu Jinyun Fang NoLa 63 0 0 25 Sep 2024
Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression Chaitanya Pallerla Yihong Feng Casey M. Owens Ramesh Bahadur Bist Siavash Mahmoudi Pouya Sohrabipour Amirreza Davar Dongyi Wang 64 5 0 25 Sep 2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems África Periánez Ana Fernández del Río Ivan Nazarov Enric Jané Moiz Hassan Aditya Rastogi Dexian Tang 78 11 0 24 Sep 2024
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction Dogukan Aksu I. H. Toroslu Hasan Davulcu 63 0 0 13 Sep 2024
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding Zhizhong Wan Bin Yin Junjie Xie Fei Jiang Xiang Li Wei Lin 3DV 70 5 0 21 Aug 2024
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation Yaowen Bi Yuteng Lian Jie Cui Jun Liu Peijian Wang ... Yang Sun Weiwei Zhang Mingchen Cai Jian Dong Guanxing Zhang 38 0 0 21 Aug 2024
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution Yucheng Ruan Xiang Lan Jingying Ma Yizhi Dong Kai He Mengling Feng LMTD 134 10 0 20 Aug 2024
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction Yunxiao Shi Wujiang Xu Mingyu Jin Haimin Zhang Qiang Wu 131 1 0 16 Aug 2024
AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising Peinan Zhang Yusuke Sakai Masato Mita Hiroki Ouchi Taro Watanabe 104 1 0 12 Aug 2024
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search Enqiang Xu Xinhui Li Zhigong Zhou Jiahao Ji Jinyuan Zhao Dadong Miao Songlin Wang Lin Liu Sulong Xu 82 0 0 11 Aug 2024
Tabular Transfer Learning via Prompting LLMs Jaehyun Nam Woomin Song Seong Hyeon Park Jihoon Tack Sukmin Yun Jaehyung Kim Kyu Hwan Oh Jinwoo Shin RALM LMTD VPVLM 123 4 0 09 Aug 2024
MMREC: LLM Based Multi-Modal Recommender System Jiahao Tian Jinman Zhao Zhenkai Wang Zhicheng Ding 121 14 0 08 Aug 2024
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation Jiachen Zhu Jianghao Lin Xinyi Dai Bo Chen Rong Shan Jieming Zhu Ruiming Tang Yong Yu Weinan Zhang OffRL 94 4 0 07 Aug 2024
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EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation Lei Huang Weitao Li Chenrui Zhang Jinpeng Wang Xianchun Yi Sheng Chen 62 2 0 29 Jul 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction Wentao Ouyang Rui Dong Ri Tao Xiangzheng Liu FedML 51 2 0 26 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 93 9 0 23 Jul 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems Yi Zhang Ruihong Qiu Jiajun Liu Sen Wang OffRL 105 1 0 18 Jul 2024
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation Chengzhi Lin Shuchang Liu Chuyuan Wang Yongqi Liu 65 4 0 17 Jul 2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second Blaž Škrlj Benjamin Ben-Shalom Grega Gaspersic Adi Schwartz Ramzi Hoseisi Naama Ziporin Davorin Kopic Andraz Tori 82 0 0 14 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox Si-Yang Liu Hao-Run Cai Qi-Le Zhou Han-Jia Ye LMTD 84 7 0 04 Jul 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 117 6 0 02 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 41 1 0 25 Jun 2024
Extreme Learning Machines for Fast Training of Click-Through Rate Prediction Models Ergun Biçici 40 0 0 25 Jun 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 145 2 0 25 Jun 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning Zinan Zheng Yang Liu Jia Li Jianhua Yao Yu Rong AI4CE 85 1 0 24 Jun 2024
Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network Erkang Jing Yezheng Liu Yidong Chai Shuo Yu Longshun Liu Yuanchun Jiang Yang Wang 66 3 0 20 Jun 2024
Mutual Learning for Finetuning Click-Through Rate Prediction Models Ibrahim Can Yilmaz Said Aldemir 31 1 0 17 Jun 2024
A Self-boosted Framework for Calibrated Ranking Shunyu Zhang Hu Liu Wentian Bao Enyun Yu Yang Song 124 3 0 12 Jun 2024