DATE: Thursday 8th of November, starts at 6pm
PLACE: Elsevier (10th Floor), 125 London Wall, London EC2Y 5AP
ATTENDEE LIMIT: 120*
*You'd like to bring guests? Have them become member of the group too!
• Networking, food and drinks
• Introduction word by Elsevier
• Talk by Olivier Koch (Staff Machine Learning Lead at Criteo) - 'Acquisition: Recommending Products From a Retailer That the User Never Visited Before’
Olivier leads the recommendation team at the Criteo AI lab. The goal of this team is to build next-generation recommendation algorithms for Criteo's new products. Olivier has been at Criteo for four years. Prior to that, Olivier worked as an engineer and team lead in distributed computing, computer vision and robotics both in academia and industry. http://olivierkoch.org / [masked] / @olivkoch
• Networking & drinks
• Talk by Maya Hristakeva (Data Science Manager at Elsevier) - 'Beyond Collaborating Filtering: Learning to Rank Research Articles'
Maya is a Data Science Manager at Elsevier working on recommender systems to help researchers connect to their research and to collaborators (e.g. Mendeley Suggest, Science Direct, Funding Opportunities and Evise Reviewer recommenders). In her talk, Maya will present the recent improvements the team has made to the Science Direct research articles recommender by deploying ranking models in production. https://www.linkedin.com/in/mayahristakeva/ / @mayahhf