Collaborative Filtering - Application On Social Web

Application On Social Web

Unlike traditional mainstream media with very few editors setting guidelines, the collaboratively filtered social media can have a very large number of editors and gets better as number of participants increasing. Services like Reddit, YouTube, and Last.fm are typical example of collaborative filtering based media.

One scenario of collaborative filtering application is to recommend interesting or popular information as judged by the community. Things appear in the front page of Digg or Reddit can be a typical example as they are voted by the community. As the diversity and size goes up, the promoted story can better reflect the average interest of the community members.

Another aspect of collaborative filtering system can make more personalized recommendation by analyzing information from your past activity or the history of other users of similar taste. These resources are used as user profiling and helps the site recommend content that submitted by other users similar to your taste, or you find interesting, as well as topics that you usually vote up and follow. The more you use the system, the better it performs on recommendation to you.