Recommender Systems
Content
Neighborhood Methods
- Motivation
- Nearest Neighbors
- Nadaraya Watson Style interpolation
- Bias
- Similarity between ratings
Matrix Factorization
- Latent variable methods
- Stochastic Gradient Descent
- Factors with bias
- Aldous Hoover Theorem (exchangeability over matrices)
Session Modeling
- Users in context
- User intent
- Sequential content consumption (implicit user modeling)
- Independent clicks, logistic model, sequential clicks, skip-click-view, with context
Feature Representation
- Latent factors from context
- Cold start problem
- Multiple sources
- Homophily
Hashing for recommendation
- Matrix hashing
- Approximation guarantees
- Optimization
Supplementary material
- Collaborative Filtering with temporal dynamics
- Neighborhood factorization (note the insanely awesome URL of the paper …)
- Matrix Factorization for recommender systems
- CoFi Rank (collaborative filtering & ranking)
- Yehuda Koren papers
Video