collaboratory

Laboratory for collaborative filtering

Description

This project contains an advanced R implementation of collaborative filtering.
It improves classic implementation, thus making it:

• applicable on large-scale datasets (by calculating predictions partially on matrix chunks) and
• reducing the training time (mostly by using optimized calculations of similarities and k nearest neighbours).

It covers:

• user-based collaborative filtering
• item-based collaborative filtering