AI engineering glossary · Time series recsys
What is LTR (learning to rank)?
Learning to rank (also called LTR): Machine learning methods that train a model to order items by relevance, using labelled or logged preferences. Approaches are grouped as pointwise, pairwise and listwise depending on what the loss looks at.
Learning to rank: an example
Train on search logs where clicked results should be ranked above skipped ones.
Related terms
More Time series recsys terms
- Listwise ranking
- Ljung-Box test
- Long tail
- Moving average
- Moving average model
- Multi-stage recommender pipeline
- Multi-step forecasting
- Multiplicative decomposition
Where you learn it
Learning to rank is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.