DCN V2 - Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.pdf
SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS.pdf
[2009][BPR] Bayesian Personalized Ranking from Implicit Feedback.pdf
[2010][FM] Factorization Machines.pdf
[2014][Facebook][GBDT+LR] Practical Lessons from Predicting Clicks on Ads at Facebook.pdf
[2016][Google][Wide&Deep] Wide & Deep Learning for Recommender Systems.pdf
[2016][Microsft][Deep Crossing] Deep Crossing - Web-Scale Modeling without Manually Crafted Combinatorial Features.pdf
[2016][NTU][FFM] Field-aware Factorization Machines for CTR Prediction.pdf
[2016][SJTU][PNN] Product-based Neural Networks for User Response Prediction.pdf
[2016][UCL][FNN] Deep Learning over Multi-field Categorical Data.pdf
[2017][Alibaba][MLR] Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction.pdf
[2017][Huawei][DeepFM] A Factorization-Machine based Neural Network for CTR Prediction.pdf
[2017][NUS][NCF] Neural Collaborative Filtering.pdf
[2017][NUS][NFM] Neural Factorization Machines for Sparse Predictive Analytics.pdf
[2017][Stanford][DCN] Deep & Cross Network for Ad Click Predictions.pdf
[2017][ZJU][AFM] Attentional Factorization Machines - Learning the Weight of Feature Interactions via Attention Networks.pdf
[2018][USTC][xDeepFM] xDeepFM - Combining Explicit and Implicit Feature Interactions for Recommender Systems.pdf
[2019][AutoInt] AutoInt - Automatic Feature Interaction Learning via Self-Attentive Neural Networks.pdf
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