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.
How recently a page was published or genuinely updated. It matters most for things that change — prices, availability, guidance — and matters little for things that do not.
A plain text file at the root of a site listing which bots may read what. It is a request rather than a lock — well-behaved crawlers obey it, and all the major AI crawlers do.
The rough limit on how much of your site a crawler will fetch in a visit. Slow pages and endless near-duplicate URLs spend it on nothing, so the pages that matter get visited less often.
When a system produces unfair results because its training data reflected an unfair world. It matters commercially as well as ethically: a biased model makes confidently wrong decisions about real people.
Giving an AI real source material to answer from, instead of letting it rely on memory. A grounded answer can be checked and cited; an ungrounded one is where hallucinations come from.
Turning written text into spoken audio. Modern voices are convincing enough to be used for real narration, which raises its own questions about disclosure.