Vector Embedding
AI
A way of representing data (such as text, images, or audio) as numbers so an AI model can understand its meaning and compare it with other data.
A recommendation engine uses vector embeddings to identify products or content that are similar in meaning, helping advertisers show more relevant ads to users based on their interests.
Vector embeddings allow AI systems to understand relationships and similarity between content, improving search, targeting, recommendations, and personalisation in advertising.