- Dimensionality Reduction
- SVD
- intro
- property
- example
- interpretation
- Dimensionality Reduction with SVD
- main
- others
The idea that there is a small number of hidden factors that characterize both individuals and items. An example(which surprisingly turns out not to be very effective as a predictor) is to categorize movies by genres and at the terrazzo what genres individual viewers like. However, there are algorithms for handling large amounts of data and finding a small number of good hidden factors to characterize both individuals and the items they like.
Dimensionality Reduction
SVD
intro
property
example
interpretation
Dimensionality Reduction with SVD
main
others
