- BPR: Bayesian Personalized Ranking from Implicit Feedback, Rendle et. al.
- Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior, Kanagal et. al. in PVLDB 2012
- Latent factor models with additive and hierarchically-smoothed user preferences, Ahmed et. al. in WSDM 2013
- Matrix Approximation under Local Low-Rank Assumption, Joonseok Lee et. al. ICLR
- Sibyl: A system for large scale supervised machine learning
Wednesday, May 22, 2013
Here's an assortment of interesting papers from some of my colleagues in the recommendation/machine learning space that I've recently read.