Decoding Financial Times' Next Best Action Recommender System
In a video, Adam Gajtkowski, a data scientist at the Financial Times, presents the workings of their Next Best Action (NBA) recommender system, which aims to enhance user engagement on their platform. Need for a Recommender System The core rationale behind building a recommender system for a newspaper like the Financial Times is rooted in their business model. With 80% of their customers engaging through digital subscriptions, there’s an abundance of data that can be analyzed to preemptively address user disengagement.