- 1.【FM】Factorization Machines
- 2.【FFM】Field-aware Factorization Machines for CTR Prediction
- 3.【FNN】Deep Learning over Multi-field Categorical Data– A Case Study on User Response Prediction
- 4.【PNN】Product-based Neural Networks for User Response Prediction
- 5.【AFM】Attentional Factorization Machines:Learning the Weight of Feature Interactions via Attention Networks
- 6.【NFM】Neural Factorization Machines for Sparse Predictive Analytics
- 7.【DeepFM】DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
- 8.【DCN】Deep & Cross Network for Ad Click Predictions
- 9.【xDeepFM】xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
- 1.【seq2seq】Sequence to Sequence Learning with Neural Networks(2014)
- 2.【seq2seq with attention】Effective Approaches to Attention-based Neural Machine Translation(2015)
- 3.【transformer】Attention Is All You Need(2017)