Hervé Schnegg

The Telegraph

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.

Wednesday April 10th , 2019
6:15 pm-
9:00 pm
DSF Day 3 - Data Science Lightning Talks at Facebook Join Data Science Festival London, in partnership with Facebook this April. The evening will consist of 4 lightning talks and a panel discussion. Please click here to apply for a ticket: GET TICKETS Schedule: 6.15pm - Doors open 6:45pm- Lightning talks…