Different methods for online recommendation

In an effort to increase user engagement, satisfaction, and profitability, many websites are offering their users various types of recommendations. Many people are familiar with Amazon.com’s people who bought also bought or people who browsed also browsed. But how do they do that?

Darren Vengroff, chief scientist from RichRelevance, explains some of the components of a recommendation system in a GigaOM article.