Page "Personalization" Paragraph 14

Web personalization models include rules-based filtering, based on " if this, then that " rules processing, and collaborative filtering, which serves relevant material to customers by combining their own personal preferences with the preferences of like-minded others.

Collaborative filtering works well for books, music, video, etc.

However, it does not work well for a number of categories such as apparel, jewelry, cosmetics, etc.

Recently, another method, " Prediction Based on Benefit ", has been proposed for products with complex attributes such as apparel.