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
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context Moyu Zhang Yong Tang Jinxin Hu Yu Zhang AI4TS 38 0 0 15 Apr 2024
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer Zhihao Guan Jia-Qi Yang Yang Yang Hengshu Zhu Wenjie Li Hui Xiong 40 3 0 05 Apr 2024
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction Shuheng Fang Kangfei Zhao Yu Rong Zhixun Li Jeffrey Xu Yu 32 0 0 26 Mar 2024
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings Yassaman Ebrahimzadeh Maboud Muhammad Adnan Divyat Mahajan Prashant J. Nair AI4TS 38 0 0 22 Mar 2024
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System Irem Islek Ş. Öğüdücü 23 0 0 15 Mar 2024
FeatAug: Automatic Feature Augmentation From One-to-Many Relationship Tables Danrui Qi Weiling Zheng Jiannan Wang ViT CVBM 25 2 0 11 Mar 2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing Kiran Madhusudhanan Gunnar Behrens Maximilian Stubbemann Lars Schmidt-Thieme 28 0 0 06 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 48 1 0 06 Mar 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang Liang Luo Yuxin Chen Jade Nie Xi Liu ... Guna Lakshminarayanan Ellie Wen Jongsoo Park Maxim Naumov Wenlin Chen ALM 26 18 0 04 Mar 2024
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution Zhen-Qiang Zhou Qihe Huang Binwu Wang Jianpeng Hou Kuo Yang Keli Zhang Yang Wang AI4TS 32 2 0 04 Mar 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey Xi Fang Weijie Xu Fiona Anting Tan Jiani Zhang Ziqing Hu Yanjun Qi Scott Nickleach Diego Socolinsky Srinivasan H. Sengamedu Christos Faloutsos LMTD ALM 39 66 0 27 Feb 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations Jiaqi Zhai Lucy Liao Xing Liu Yueming Wang Rui Li ... Zhaojie Gong Fangda Gu Michael He Yin-Hua Lu Yu Shi OffRL 32 46 0 27 Feb 2024
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities B. Gebre Karoliina Ranta S. V. D. Elzen Ernst Kuiper Thijs Baars Tom Heskes 43 1 0 25 Feb 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization Zirui Zhu Yong Liu Zangwei Zheng Huifeng Guo Yang You 35 0 0 23 Feb 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems Yuanqing Yu Chongming Gao Jiawei Chen Heng Tang Yuefeng Sun Qian Chen Weizhi Ma Min Zhang OffRL 37 2 0 23 Feb 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
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey Kamal Taha 16 1 0 17 Feb 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Ben Feuer R. Schirrmeister Valeriia Cherepanova Chinmay Hegde Frank Hutter Micah Goldblum Niv Cohen Colin White 48 14 0 17 Feb 2024
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training Haonan Chen Zhicheng Dou Xuetong Hao Yunhao Tao Shiren Song Zhenli Sheng 19 0 0 11 Feb 2024
Non-autoregressive Generative Models for Reranking Recommendation Yuxin Ren Qiya Yang Yichun Wu Wei Xu Yalong Wang Zhiqiang Zhang 43 5 0 10 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn Fedor Borisyuk Mingzhou Zhou Qingquan Song Siyu Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 29 1 0 10 Feb 2024
Denoising Time Cycle Modeling for Recommendation Sicong Xie Qunwei Li Weidi Xu Kaiming Shen Shaohu Chen Leon Wenliang Zhong AI4TS 11 7 0 05 Feb 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning Yi Cheng Renjun Hu Haochao Ying Xing Shi Jian Wu Wei Lin LMTD 37 8 0 04 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 46 20 0 02 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models Yicui Peng Hao Chen C. Lin Guo Huang Jinrong Hu Hui Guo Bin Kong Shu Hu Xi Wu Xin Wang LRM 58 8 0 31 Jan 2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models Yewen Fan Nian Si Xiangchen Song Kun Zhang 16 0 0 30 Jan 2024
Securing Recommender System via Cooperative Training Qingyang Wang Chenwang Wu Defu Lian Enhong Chen AAML 22 2 0 23 Jan 2024
Novel Representation Learning Technique using Graphs for Performance Analytics Tarek Ramadan Ankur Lahiry Tanzima Z. Islam GNN AI4TS 17 1 0 19 Jan 2024
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation Zhibo Xiao Luwei Yang Tao Zhang Wen Jiang Wei Ning Yujiu Yang 27 3 0 15 Jan 2024
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction Haowen Wang Yuliang Du Congyun Jin Yujiao Li Yingbo Wang Tao Sun Piqi Qin Cong Fan GNN 41 0 0 15 Jan 2024
CCNETS: A Novel Brain-Inspired Approach for Enhanced Pattern Recognition in Imbalanced Datasets Hanbeot Park Yunjeong Cho Hoon-Hee Kim 19 0 0 07 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 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
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation Chengming Hu Haolun Wu Xuan Li Chen-li Ma Xi Chen Jun Yan Boyu Wang Xue Liu 35 3 0 22 Dec 2023
Proxy-based Item Representation for Attribute and Context-aware Recommendation Jinseok Seol Minseok Gang Sang-goo Lee Jaehui Park 29 4 0 11 Dec 2023
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections Marcel Wagenlander Guo Li Bo Zhao Luo Mai Peter R. Pietzuch 37 7 0 08 Dec 2023
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models Hailin Zhang Zirui Liu Boxuan Chen Yikai Zhao Tong Zhao Tong Yang Tengjiao Wang 37 10 0 06 Dec 2023
GFS: Graph-based Feature Synthesis for Prediction over Relational Databases Han Zhang Quan Gan David Wipf Weinan Zhang 23 6 0 04 Dec 2023
Knowledge Graph Driven Recommendation System Algorithm Chaoyang Zhang Yanan Li Shen Chen Siwei Fan Wei Li 18 3 0 01 Dec 2023
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems Hongjian Gu Yaochen Hu Yingxue Zhang CML BDL 29 0 0 30 Nov 2023
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation Jia Li Yanyan Shen Lei Chen Charles Wang Wai Ng 22 3 0 27 Nov 2023
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset Usneek Singh Piyush Arora Shamika Ganesan Mohit Kumar Siddhant Kulkarni Salil R. Joshi 59 2 0 24 Nov 2023
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing Feiyang Han Yimin Wei Zhaofeng Liu Yanxing Qi 32 1 0 24 Nov 2023
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape Hua Zheng Kuang-Hung Liu Igor Fedorov Xin Zhang Wen-Yen Chen Wei Wen 44 1 0 22 Nov 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 32 7 0 16 Nov 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 29 2 0 14 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang ... Huayu Li Zhengxing Chen Wen-Yen Chen Jiyan Yang Wei Wen OffRL 24 2 0 14 Nov 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data Bart Pleiter Behrad Tajalli Stefanos Koffas Gorka Abad Jing Xu Martha Larson S. Picek LMTD AAML 42 1 0 13 Nov 2023
Modeling User Viewing Flow Using Large Language Models for Article Recommendation Zhenghao Liu Zulong Chen Moufeng Zhang Shaoyang Duan Hong Wen Liangyue Li Nan Li Yu Gu Ge Yu 22 6 0 12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 30 0 0 10 Nov 2023