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Background

A recommendation system (RS) can identify user preferences based on their historical data and suggest products or items to them accordingly. Companies will enjoy considerable economic benefits from a well-designed recommendation system.

There are three elements in a complete set of recommendation systems: user model, object model, and the core element—recommendation algorithm. Currently, established algorithms include collaborative filtering, implicit semantic modeling, graph-based modeling, combined recommendation, and more. In this article, we will provide some brief instructions on how to use Milvus to build a graph-based recommendation system.

Source: DZone