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
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation Yuting Liu Enneng Yang Yizhou Dang Guibing Guo Qiang Liu Yuliang Liang Linying Jiang Xingwei Wang 29 9 0 10 Nov 2023
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems Huan Gui Ruoxi Wang Ke Yin Long Jin Maciej Kula Taibai Xu Lichan Hong Ed H. Chi 46 2 0 10 Nov 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 29 2 0 08 Nov 2023
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces Aditya Desai Benjamin Meisburger Zichang Liu Anshumali Shrivastava FedML 18 1 0 03 Nov 2023
DistDNAS: Search Efficient Feature Interactions within 2 Hours Tunhou Zhang W. Wen Igor Fedorov Xi Liu Buyun Zhang ... Wen-Yen Chen Yiping Han Feng Yan Hai Helen Li Yiran Chen 21 1 0 01 Nov 2023
Farthest Greedy Path Sampling for Two-shot Recommender Search Yufan Cao Tunhou Zhang W. Wen Feng Yan Hai Helen Li Yiran Chen 21 0 0 31 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 38 10 0 28 Oct 2023
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation Ramin Giahi Reza Yousefi Maragheh Nima Farrokhsiar Jianpeng Xu Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan 18 0 0 26 Oct 2023
RDBench: ML Benchmark for Relational Databases Zizhao Zhang Yi Yang Lutong Zou He Wen Tao Feng Jiaxuan You 25 2 0 25 Oct 2023
Context-aware explainable recommendations over knowledge graphs Jinfeng Zhong E. Negre 32 1 0 24 Oct 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Weihong Luo Liang Chen Xiuqiang He Xue Liu 18 2 0 23 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qi-Le Zhou Han-Jia Ye Le-Ye Wang De-Chuan Zhan 29 7 0 23 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 38 5 0 15 Oct 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction Jianghao Lin Bo Chen Hangyu Wang Yunjia Xi Yanru Qu Xinyi Dai Kangning Zhang Ruiming Tang Yong Yu Weinan Zhang 60 30 0 13 Oct 2023
On the Embedding Collapse when Scaling up Recommendation Models Xingzhuo Guo Kai Yan Ximei Wang Baixu Chen Haohan Wang Mingsheng Long 18 22 0 06 Oct 2023
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction Yujian Betterest Li Kai Wu 24 0 0 06 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Danrui Qi Jinglin Peng Yongjun He Jiannan Wang TPM 33 3 0 04 Oct 2023
Feature Interaction Aware Automated Data Representation Transformation Steve Hanneke Dongjie Wang Kunpeng Liu Wei Zhang Yanjie Fu 30 3 0 29 Sep 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 25 1 0 27 Sep 2023
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training Selim F. Yilmaz Benjamin Ghaemmaghami A. Singh Benjamin Cho Leo Orshansky Lei Deng Michael Orshansky AI4TS 28 0 0 27 Sep 2023
Automatic Feature Fairness in Recommendation via Adversaries Hengchang Hu Yiming Cao Zhankui He Samson Tan Min-Yen Kan AAML FaML 8 2 0 27 Sep 2023
Diffusion Augmentation for Sequential Recommendation Qidong Liu Fan Yan Xiangyu Zhao Zhaochen Du Huifeng Guo Ruiming Tang Feng Tian 26 36 0 22 Sep 2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness Liyao Jiang Chenglin Li Haolan Chen Xiao-Rong Gao Xinwang Zhong Yang Qiu Shani Ye Di Niu 27 0 0 15 Sep 2023
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing Wangyang Ying Dongjie Wang Kunpeng Liu Leilei Sun Yanjie Fu 24 13 0 08 Sep 2023
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning Tianchi Cai Jiyan Jiang Wenpeng Zhang Shiji Zhou Xierui Song Li Yu Lihong Gu Xiaodong Zeng Jinjie Gu Guannan Zhang OffRL 23 2 0 06 Sep 2023
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 30 12 0 05 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 41 4 0 03 Sep 2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations Xu Huang Jianxun Lian Yuxuan Lei Jing Yao Defu Lian Xing Xie LLMAG 26 87 0 31 Aug 2023
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction Jun Li Jingjian Wang Hongwei Wang Xing Deng Jielong Chen ... Zekun Wang Guanjie Xu Geng Zhang Feng Shi Hualei Liu AI4TS 19 2 0 30 Aug 2023
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 40 3 0 28 Aug 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems Tianchi Cai Shenliao Bao Jiyan Jiang Shiji Zhou Wenpeng Zhang Lihong Gu Jinjie Gu Guannan Zhang OffRL 27 2 0 25 Aug 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection Shi-jing Zhang Xin Yan Xuejiao Yang Binfeng Jia Shuangyang Wang 23 9 0 24 Aug 2023
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints Han Huang Li Shen Deheng Ye Wei Liu 15 0 0 24 Aug 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 40 78 0 22 Aug 2023
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations Wei Dai Yingmin Su Xiaofeng Pan 29 1 0 21 Aug 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 20 6 0 20 Aug 2023
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings Amit Jaiswal Yu Xiong 15 1 0 17 Aug 2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction Dong Wang Kave Salamatian Yunqing Xia Weiwei Deng Qi Zhang 21 12 0 17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 29 1 0 16 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 38 5 0 15 Aug 2023
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction S. Silva R. Silva 25 0 0 15 Aug 2023
Deep Context Interest Network for Click-Through Rate Prediction Xuyang Hou Zhe Wang Qi Liu Tan Qu Jia Cheng Jun Lei 3DV 23 7 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
TBIN: Modeling Long Textual Behavior Data for CTR Prediction Shuwei Chen Xiang Li Jian Dong Jin Zhang Yongkang Wang Xingxing Wang 15 3 0 09 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data Yancheng Liang Jiajie Zhang Hui Li Xiaochen Liu Yi Hu Yonghuan Wu Jinyao Zhang Yongyan Liu Yi Wu 35 2 0 07 Aug 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank Jiarui Jin Xianyu Chen Weinan Zhang Girish A. Koushik Yang Wang Yali Du Yong Yu Jun Wang 11 0 0 05 Aug 2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction Jianghao Lin Yanru Qu Wei Guo Xinyi Dai Ruiming Tang Yong Yu Weinan Zhang 22 20 0 03 Aug 2023
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction Haoxuan Li Taojun Hu Zetong Xiong Chunyuan Zheng Fuli Feng Xiangnan He Xiao-Hua Zhou MedIm 16 1 0 03 Aug 2023
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction J. M. Rodríguez Antonela Tommasel OffRL 33 1 0 03 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 21 1 0 31 Jul 2023