Portal, Express Beta Version 6.1 Operating systems: i5/OS, Linux,Windows

Preference Engine

The Preference Engine leverages explicitly stated user preferences to make highly accurate recommendations for products and content that your Web site visitors will like. Customers get exposure to items they might otherwise miss. For example, users shopping for gifts can get recommendations based on the gift recipient's shopping preferences.

• A user can rate a movie and LikeMinds returns a predicted rating for that movie.

  For example, a user can assign the movie Fantasia with a rating such as "I loved it". Internally the rating corresponds to a numerical value.

• A user can ask for a recommendation about the best bet, which is provided by a LikeMinds rule. This corresponds to asking which movie a user would like the most among all available movies.