AI engineering glossary · Time series recsys
What is serendipity?
Serendipity: The quality of recommendations that are both unexpected and useful, delighting a user with something they would not have found or thought to look for. It is hard to measure, and usually defined relative to a baseline of obvious recommendations.
Serendipity: an example
A cricket fan gets a well-liked kabaddi documentary that they enjoy.
Related terms
More Time series recsys terms
- Session-based recommendation
- Stationarity
- STL decomposition
- Strict stationarity
- Structural break
- Temporal fusion transformer
- Time series
- Time series cross-validation
Where you learn it
Serendipity is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.