Model Evaluation Process
The journey from research to actionable recommendations involves a series of steps, including prototyping, offline testing, and ultimately, A/B testing against existing models. While new models may show a lower click-through rate initially, they foster better long-term user engagement and retention, proving that a focus on sustained user habits can lead to more meaningful interactions over time.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Reinforcement Learning for Personalization at Spotify with Tony Jebara - 609
Related Questions
How do you build retention models?
Why is testing and listening important in the context of product development or marketing, particularly in episodes 114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro and User-Builder Disconnect, as well as in How To Get Your Optimization Efforts Better With Ben Labay and Experimentation Maturity Audit?