User Recommendation

[sprusrxeroxx]

Build a recommendation algorithm based on user preferences

• Create an AI model to analyze user preferences and tastes
• Create a recommendation system to suggest next meals or recipes
• Create a vector database to store user recipe searches, saves, likes and interests
• Create user cluster types based on User Entity Behavioral Analytics
• Model vector based of user action sequences

[github-actions]

This GitHub issue focuses on building a recommendation algorithm tailored to user preferences. The tasks include developing an AI model capable of analyzing user tastes, creating a recommendation system to suggest meals or recipes, and implementing a vector database to store data like recipe searches, saves, likes, and interests. Additionally, it involves clustering users into types based on their behavioral analytics to enhance the personalization and relevance of recommendations.