Driving Growth through Personalization: A Scalable Recommender System for Freenet
Date:
Wednesday, November 15, 2023
Time:
2:00 pm
Track:
Room:
Saphir 1
Summary:
Personalization is a crucial principle in content moderation and information selection for many websites, especially in e-commerce where showing relevant products to customers is key to providing a valuable service. Torge & Carsten will provide a practical guide to build a cloud-based near real-time recommender service. You will come away with a comprehensive understanding of the business considerations and technical challenges involved in building a production-ready recommender system on AWS.
Speakers:
Content recommendations in Candy Crush Saga: addressing challenges in iterative model development
Date:
Wednesday, November 15, 2023
Time:
2:30 pm
Track:
Summary:
An accurate recommendation is a challenge since predictions often miss novelty, are repetitive or become irrelevant to the users. For a large mobile game, it is crucial to enhance the relevance of displayed content. Martin presents the main challenges and his solution when building a recommender system for millions of players. He discusses the iterative approach to model development, the strategy of competing model testing as well as methods that can diminish the bias of the prediction.