Notable References
- Audio chord recognition with recurrent neural networks
- Training and testing low-degree polynomial data mappings via linear SVM
- Deep CTR prediction in display advertising
- Wide & deep learning for recommender systems
- Deep neural networks for YouTube recommendations
- Web-scale bayesian click-through rate prediction for sponsored search advertising in Microsoft’s Bing search engine
- Practical lessons from predicting clicks on ads at Facebook
- Deep residual learning for image recognition
- Field-aware factorization machines for CTR prediction
- Exploring strategies for training deep neural networks
- A convolutional click prediction model
- Ad click prediction: a view from the trenches
- Product-based neural networks for user response prediction
- Pairwise interaction tensor factorization for personalized tag recommendation
- Factorization machines
- Predicting clicks: estimating the click-through rate for new ads
- Restricted boltzmann machines for collaborative filtering
- Autorec: Autoencoders meet collaborative filtering
- Dropout: a simple way to prevent neural networks from overfitting
- Deep content-based music recommendation
- Improving content-based and hybrid music recommendation using deep learning
- Collaborative deep learning for recommender systems
- Collaborative denoising auto-encoders for top-n recommender systems
- Recurrent recommender networks
- Sequential click prediction for sponsored search with recurrent neural networks
- Deep learning over multi-field categorical data — A case study on user response prediction
- A deep and autoregressive approach for topic modeling of multimodal data
- Joint deep modeling of users and items using reviews