Notable References
- TensorFlow: Large-scale machine learning on heterogeneous systems
- Building industrial-scale real-world recommender systems
- The YouTube Video Recommendation System
- Large Scale Distributed Deep Networks
- A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
- Deep Sparse Rectifier Neural Networks
- Practical Lessons from Predicting Clicks on Ads at Facebook
- A Neural Probabilistic Model for Context Based Citation Recommendation
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
- On Using Very Large Target Vocabulary for Neural Machine Translation
- Viral Video Style: A Closer Look at Viral Videos on YouTube
- An Investigation of Practical Approximate Nearest Neighbor Algorithms
- YouTube Now: Why We Focus on Watch Time
- Distributed Representations of Words and Phrases and Their Compositionality
- Hierarchical Probabilistic Neural Network Language Model
- Implicit Feedback for Recommender Systems
- Personalized News Recommendation Using Classified Keywords to Capture User Preference
- Autorec: Autoencoders Meet Collaborative Filtering
- A Survey of Collaborative Filtering Techniques
- User Modeling with Neural Network for Review Rating Prediction
- Deep Content-Based Music Recommendation
- Collaborative Deep Learning for Recommender Systems
- WSABIE: Scaling Up to Large Vocabulary Image Annotation
- Label Partitioning for Sublinear Ranking
- Beyond Clicks: Dwell Time for Personalization