Prediction Models
You use a Prediction model, a collection of decision trees also known as a dependency network, to provide real-time purchase recommendations to users visiting your site, and to guess unknown profile properties about users. A Prediction model summarizes relationships in the data in the form of rules. For example, a Prediction model might say that if a visitor to your site is male, over 55, and purchases sports clothes, then he is also likely to purchase golf equipment. You can use this model to make real-time recommendations for golf equipment to users who match this profile.
Prediction models typically provide recommendations that are more accurate than human-generated rules, because they predict based upon the previous activity on the site; consequently, they usually result in more sales.
To analyze Prediction models, you use the Prediction Model Viewer in Commerce Server. For information about viewing Prediction models, see Viewing Analysis Models.
See Also
Using Prediction in Web Site Management
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