Semantic Recommender

What are recommender systems?

Recommender systems are a type of machine learning system that learns user preferences to predict what users may like. They are used in a variety of applications, including:

Semantic recommendations

Semantic recommender systems utilise vector representations to capture features of items and use vector search to find similar ones. Benefits include: 


Start building semantic recommender systems using SemaDB, our vector database solution.


We can help you build and deliver an AI solution around vector search using our products.