AI engineering glossary · Time series recsys
What is recommender system?
Recommender system (also called Recommendation engine): A system that suggests items such as products, videos or songs to each user, based on what is known about the user, the items and past behaviour. It helps people find relevant things in huge catalogues and drives much of the engagement in modern apps.
Recommender system: an example
A shopping app showing 20 suggested products on the home page for each user.
Related terms
More Time series recsys terms
- Recursive forecasting
- Rolling window feature
- SARIMA
- SARIMAX
- Seasonal differencing
- Seasonal naive forecast
- Seasonality
- Sequential recommendation
Where you learn it
Recommender system is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.