Deliver hyperpersonalized viewer experiences with an agentic AI movie assistant using Amazon Nova Sonic 2.0Recommendation systems are the backbone of modern media streaming services, shaping how users discover content. Traditional machine learning (ML) systems use collaborative or content-based filtering to predict content preferences. However, they often miss context-dependent needs, such as time of the day, mood, or social settings. For example, after watching ‘The Shawshank Redemption,’ a system might suggest more prison dramas, ignoring that the user might want something lighter to unwind. A hybrid approach addresses this gap by combining traditional machine learning pattern-recognition capabilities with generative AI’s contextual understanding and conversational abilities. Agentic AI takes this further by engaging users through dynamic dialogue and reasoning about viewing context. These recommendation agents synthesize information from multiple sources—plot…
Deliver hyper-personalized viewer experiences with an agentic AI movie assistant using Amazon Bedrock AgentCore and Amazon Nova Sonic 2.0 | Amazon Web Services
