Recommendation Engine
A system that suggests what somebody might want next based on behaviour — the “customers also bought” of an online shop. One of the oldest commercial uses of machine learning.
Related terms
Token
The unit an AI reads and writes in — roughly three quarters of a word. Models are priced and limited by tokens, which is why very long documents cost more and sometimes get truncated.
Context Window
How much text a model can hold in mind at once, counted in tokens. Anything beyond it is forgotten, which is why very long conversations start to lose earlier details.
Embedding
A way of turning text into numbers so a computer can tell that “web hosting” and “website server space” are about the same thing. It is what makes search by meaning possible rather than search by exact word.
Model Drift
When a model gets worse over time because the world moved on and it did not. A pricing or demand model trained two years ago quietly stops matching how customers behave now.
Training Data
The text, images or code a model learned from. It shapes everything the model knows and every bias it carries, and it is why what your website said two years ago may still be what an assistant repeats.
sameAs
A structured-data property that links your business to its profiles elsewhere — Facebook, LinkedIn, a directory. It is how a model confirms you exist in more than one place, which makes it far likelier to name you.