Talk Abstract: How to evaluate recommender systems?
Recommender systems allow us to build personalised experience for our users. But do we know how to evaluate them?
Bio: Principal Data Scientist at The Telegraph. Interested in data mining, machine learning and predictive analytics. Developed news recommender systems, churn models and various propensity models. Uses R for data analysis, Python for product prototyping and Clojure for side projects.