Relationships in Recommendation Systems
In Recommendation Systems, entities are interconnected through relationships that define the flow and associations of user and item data. Key relationships include:
User Profile-Interaction Relationship
- One-to-many relationship
- Each user can have multiple interactions, while each interaction is associated with one user.
Item-Interaction Relationship
- One-to-many relationship
- Each item can have multiple interactions, while each interaction corresponds to one item.
How to Design Database for Recommendation Systems
Recommendation systems have become important in modern digital platforms, guiding users to relevant content, products, or services based on their preferences and behavior.
Behind the effectiveness of recommendation algorithms lies a well-designed database architecture capable of storing, organizing, and analyzing vast amounts of user and item data.
In this article, we will explore the essential principles of designing databases specifically for Recommendation Systems.
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