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1803.05170
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xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Knowledge Discovery and Data Mining (KDD), 2018
14 March 2018
Jianxun Lian
Xiaohuan Zhou
Fuzheng Zhang
Zhongxia Chen
Xing Xie
Guangzhong Sun
BDL
Re-assign community
ArXiv (abs)
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Github (746★)
Papers citing
"xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems"
50 / 332 papers shown
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Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
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Xuyang Hou
Haoran Jin
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144
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AutoML for Large Capacity Modeling of Meta's Ranking Systems
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Yuxin Chen
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282
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DistDNAS: Search Efficient Feature Interactions within 2 Hours
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341
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Farthest Greedy Path Sampling for Two-shot Recommender Search
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123
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Embedding in Recommender Systems: A Survey
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Xinjian Zhao
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...
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351
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207
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An Integrative Paradigm for Enhanced Stroke Prediction: Synergizing XGBoost and xDeepFM Algorithms
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150
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194
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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
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Yong Yu
Weinan Zhang
596
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Rui Lv
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221
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10 Oct 2023
On the Embedding Collapse when Scaling up Recommendation Models
International Conference on Machine Learning (ICML), 2023
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Haohan Wang
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283
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Asian Conference on Machine Learning (ACML), 2023
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180
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117
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235
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304
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...
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Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks
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167
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Shigang Quan
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22 Aug 2023
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations
International Conference on Information and Knowledge Management (CIKM), 2023
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153
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Adversarial Collaborative Filtering for Free
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132
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107
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Temporal Interest Network for User Response Prediction
The Web Conference (WWW), 2023
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308
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ConvFormer: Revisiting Transformer for Sequential User Modeling
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215
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MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
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145
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Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
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529
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DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Menglin Kong
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120
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Exploiting Field Dependencies for Learning on Categorical Data
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Zhibin Li
Piotr Koniusz
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D. Pagendam
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155
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18 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Xinhang Li
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Yejing Wang
Yu Liu
Yong Li
Cheng Long
Yong Zhang
Chunxiao Xing
135
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Blockwise Feature Interaction in Recommendation Systems
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161
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NFT.mine: An xDeepFM-based Recommender System for Non-fungible Token (NFT) Buyers
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Yucheng Jin
Pin-Lun Hsu
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86
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Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
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206
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Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
International Conference on Machine Learning (ICML), 2023
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Zachary Robertson
Sanmi Koyejo
110
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HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer
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Ting-Li Chen
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Lichan Hong
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150
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Exploring and Exploiting Data Heterogeneity in Recommendation
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Zimu Wang
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Hao Zou
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Yue He
Dongxu Liang
Peng Cui
187
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SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
ACM Multimedia (ACM MM), 2023
Yingchun Wang
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Song Guo
Weizhan Zhang
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Qinghua Zheng
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293
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DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction
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Xin Eric Wang
Wenwu Zhu
177
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MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Jingcai Guo
Yuanyuan Xu
Wenchao Xu
Yufeng Zhan
Yuxia Sun
Song Guo
205
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02 May 2023
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jingcai Guo
Song Guo
Shiheng Ma
Yuxia Sun
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240
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02 May 2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
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113
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COUPA: An Industrial Recommender System for Online to Offline Service Platforms
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Sicong Xie
Binbin Hu
Feng Li
Ziqi Liu
Qing Cui
Wenliang Zhong
Jun Zhou
134
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LogicRec: Recommendation with Users' Logical Requirements
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Zhenwei Tang
Griffin Floto
Armin Toroghi
Shichao Pei
Xiangliang Zhang
Scott Sanner
179
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KDSM: An uplift modeling framework based on knowledge distillation and sample matching
Chang Sun
Qianying Li
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116
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Compressed Interaction Graph based Framework for Multi-behavior Recommendation
The Web Conference (WWW), 2023
Wei Guo
Chang Meng
Enming Yuan
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...
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Yaochen Hu
Ruiming Tang
Xiufeng Li
Rui Zhang
160
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04 Mar 2023
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periánez
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Ana Fernández del Río
P. Alonso
173
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Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation
International Conference on Database Systems for Advanced Applications (DASFAA), 2023
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Xing Wu
Yiming Cao
Yonghui Xu
Li-zhen Cui
Zhiqi Shen
100
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15 Feb 2023
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Yingchun Wang
Jingcai Guo
Jie Zhang
Song Guo
Weizhan Zhang
Qinghua Zheng
FedML
375
11
0
09 Feb 2023
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