Collaborative filtering methods happen to be applied to many different types of data which includes: sensing and keeping track of data, such just as mineral exploration, ecological sensing over large areas or multiple sensors; financial information, such as monetary service institutions of which integrate many monetary sources; or in electric commerce and web applications where the focus is on user data, etc.
Collaborative Filtering
