Did you know that 80% of time spent on Netflix comes via recommendations? The combined effect of personalization and recommendations save them more than $1B per year, says Neil Hunt, Chief Product Officer at Netflix.
Recommender systems have a big impact and are found everywhere powering discovery experiences online: movies & TV, music, food, social media, news, education etc.
Bibblio Labs, the R&D arm of content recommendation service Bibblio, is proud to announce its first Recommender Systems (RecSys) Meetup in Berlin, hosted by the German Tech Entrepreneurship Center.
Come to learn from RecSys experts on how you can best select, present, and adapt the presentation of information in artificial advice giving systems, and stay for networking over a few drinks and finger-food.
All artificial intelligence- and machine learning fanatics, who are keen to discuss real world projects, are welcome.
PLACE: German Tech Entrepreneurship Center | WeWork Potsdamer Platz, Stresemannstr. 123
ATTENDEE LIMIT: 75
THEME: Recommender Systems
• Networking, food and drinks
• Talk by Lele Canfora (Founder and COO at Beyond Machine) + Q&A
• Talk by Gugulethu Ncube (Director of Search and Discovery at Delivery Hero) + Q&A
• Networking and drinks