AI engineering glossary · Time series recsys
What is sequential recommendation?
Sequential recommendation: Recommendation that models the ordered history of a user's interactions to predict what they will want next, since recent items and their order carry information. Models include recurrent networks and Transformers.
Sequential recommendation: an example
After a user watches episodes 1 and 2 of a series, episode 3 should rank first.
Related terms
- Session-based recommendation
- SASRec
- BERT4Rec
- Item embedding
More Time series recsys terms
- Serendipity
- Session-based recommendation
- Stationarity
- STL decomposition
- Strict stationarity
- Structural break
- Temporal fusion transformer
- Time series
Where you learn it
Sequential recommendation is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.