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.
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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.
The format Google and the AI assistants prefer for structured data — a block of machine-readable facts tucked into the page. It states plainly what prose only implies: this is the business, this is the address, this is the price.
Anthropic’s crawler, which reads public pages for Claude. Like the others it identifies itself and follows robots.txt.
Being recognised as a reliable source on a subject rather than on a single keyword, usually by covering it thoroughly and consistently. It is what makes a small site beat a bigger one in a narrow field.
Automatically judging whether text is positive, negative or neutral. Used to read reviews and messages at a scale nobody could read by hand.
Training a model on examples that are already labelled with the right answer. It is the most common approach when you know exactly what you want the system to produce.
The model architecture behind almost every modern AI system, introduced in 2017. Its trick is paying attention to how every word in a passage relates to every other, which is what made fluent machine writing possible.