Deep Interest Network for Click-Through Rate Prediction

Keywords

Computer science, Embedding, Activation function, Artificial intelligence, Bottleneck

References

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• Practical Lessons from Predicting Clicks on Ads at FacebookXinran He, Junfeng Pan, Ou Jin — 2014
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• Coupled Group Lasso for Web-Scale CTR Prediction in Display AdvertisingLing Yan, Wu-Jun Li, Gui-Rong Xue — 2014
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Cited by

• Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light NetGuorui Zhou, Ying Fan, Runpeng Cui — 2017
• Searching for Activation FunctionsPrajit Ramachandran, Barret Zoph, Quoc V. Le — 2018
• Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User BehaviorTiezheng Ge, Liqin Zhao, Guorui Zhou — 2017
• Learning Tree-based Deep Model for Recommender SystemsZhu Han, Xiang Li, Pengye Zhang — 2018
• Image Matters: Visually Modeling User Behaviors Using Advanced Model ServerTiezheng Ge, Liqin Zhao, Guorui Zhou — 2017
• Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning AbstractionsNicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis — 2018
• Learning from Multi-View Multi-Way Data via Structural Factorization MachinesChun-Ta Lu, Lifang He, Hao Ding — 2017
• RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender SystemsHongwei Wang, Fuzheng Zhang, Jialin Wang — 2018
• xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsJianxun Lian, Xiaohuan Zhou, Fuzheng Zhang — 2018
• Broad Learning for HealthcareBokai Cao — 2018
• Improving Native Ads CTR Prediction by Large Scale Event Embedding and Recurrent NetworksMehul Parsana, Krishna Poola, Yajun Wang — 2018
• Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature SequencesPatrick P. K. Chan, Xian Hu, Lili Zhao — 2018
• Deep Learning for Matching in Search and RecommendationJun Xu, Xiangnan He, Hang Li — 2018
• Layer-wise Relevance Propagation for Explainable RecommendationsHomanga Bharadhwaj — 2018
• Optimally Connected Deep Belief Net for Click Through Rate Prediction in Online AdvertisingRongbin Xu, Menglong Wang, Ying Xie — 2018
• Adaptive Edge Features Guided Graph Attention NetworksLiyu Gong, Qiang Cheng — 2018
• ETCF: An Ensemble Model for CTR PredictionXiaokang Qiu, Yuan Zuo, Guannan Liu — 2018
• Field-aware probabilistic embedding neural network for CTR predictionWeiwen Liu, Ruiming Tang, Jiajin Li — 2018
• CSAN: Contextual Self-Attention Network for User Sequential RecommendationXiaowen Huang, Shengsheng Qian, Quan Fang — 2018
• Heterogeneous Knowledge-Based Attentive Neural Networks for Short-Term Music RecommendationsQika Lin, Yaoqiang Niu, Yifan Zhu — 2018

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