Gen2Rec marks the next generation of recommendation systems providing a Generalized Framework for using Large Language Models as recommendation processes which enables more personalized, context aware recommendations and engagement with the recommendation system.
Key Features:
- Generalizability across different categories.
- Explainable and cross-domain recommendations.
- User and contextual data integration and personalized, context-aware suggestions.
- Better natural language understanding.
- Flexibility in model selection and lower resource usage.
- Scalability, reduced computational resources, and no vendor lock-in.
Mainly consists of 3 components.
- Chat Interface
- Prompt Constructor
- Recommendation Engine