If you’re not familyiar with embeddings, think of them as mathematical representations of meaning. INTEAD of Storing your literal search history, Google Converts Your Behavior Into Numbers that Capture Relationships Between Concepts.
Basically, it’s search history as vector math. This is a direct application of semantic search, and it’s not brand new. Folks like dan hintley Have shown how open ai’s patent highlights the importance of semantic seo to chunk content, Embed it into vector space, and match it against engage.
What’s new is how google applies it to users themselves. Each person ends up with a kind of semantic fingerprint, Simlar to a dynamic, multidimensional snapshot that incidences explicit queries, implicit signs, and paste interactives.
A User is no longer just a single querry, but a constant Evolving semantic embedding that represents Google’s Holistic Understanding of their Intent, Conte, and KNOWLEDGE.
Yes, it’s giving the matrix.