Content Recommendation

Engine

Project Overview

A streaming service with a growing content library was struggling with user engagement and retention. Their existing recommendation system was based on simple algorithms that didn't effectively capture user preferences or content relationships, resulting in generic recommendations and limited content discovery.

The streaming service approached AscendAI to develop a sophisticated content recommendation engine that could understand user preferences at a deeper level, recommend relevant content, and increase overall engagement with their platform.