General Reading

Data Streams

• Mining Massive Datasets, Chapter 4
• Machine Learning for Data Streams: with Practical Examples in MOA
• Learning under Concept Drift: A Review.
• Learning in Nonstationary Environments: A Survey.
• Incremental on-line learning: A review and comparison of state of the art algorithms.

Web Advertizing

• Deep Learning based Recommender System: A Survey and New Perspectives
• A review on deep learning for recommender systems: challenges and remedies
• Reinforcement Learning

Predicting Links in Social Networks

• Mining Massive Datasets, Chapter 10