AI glossary · AI basics
Recommendation system
A recommendation system is AI that suggests things you might like, such as videos, songs or products, based on what you and similar people did before.
Also called recommendation algorithm, recommender system, the algorithm
In more detail
Recommendation systems learn from signals like what you watched, how long you watched it, what you skipped and what you bought. They are among the most widely used kinds of AI.
They are helpful for discovery, but they can also create “filter bubbles” that keep showing you more of the same.
Example
Netflix suggesting a series, Spotify building a weekly playlist, or an online shop showing “customers also bought”.
Related terms
Machine learning (ML)Machine learning (ML) is a way of building AI where computers learn patterns from examples, instead of being given step-by-step rules.AlgorithmAn algorithm is a step-by-step set of instructions a computer follows to solve a problem or complete a task.Predictive AIPredictive AI uses patterns in past data to forecast what is likely to happen next, such as which customers might cancel or what a house will sell for.
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