AI engineering glossary · Time series recsys
What is popularity bias?
Popularity bias: The tendency of recommenders to over-recommend already popular items, because they have more data, which makes them more popular still. It hurts discovery and smaller sellers, and is countered by re-weighting or re-ranking.
Popularity bias: an example
A top-10 list filled with the same bestsellers shown to nearly every user.
Related terms
More Time series recsys terms
- Prediction interval
- Probabilistic forecasting
- Prophet
- Quantile forecast
- Random walk
- Ranking stage
- RankNet
- Re-ranking stage
Where you learn it
Popularity bias is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.