Implementing a Real-Life Recommender System

In this talk, we explore the journey of implementing a robust recommender system at Lightricks, a leading provider of photo and video editing tools that offer endless possibilities and inspiration. We focus on key challenges and innovative solutions in delivering personalized recommendations, balancing exploration and exploitation, and accelerating the discovery of high-quality content. Our system helps users easily find video editing templates from millions of user-generated options by leveraging advanced machine learning models and user behavior data.

Attendees will gain insights into the architecture of our recommender system, practical strategies to overcome common implementation obstacles, and the impact of these solutions on user satisfaction and engagement. Join us to learn how Lightricks successfully navigated the complexities of recommender systems to enhance user experience and drive content discovery.