Conventionally, a recommendation system is considered as a success if clients purchase
the recommended products. However, the act of purchasing itself does not guarantee
satisfaction and a truly successful recommendation system should be one that maximizes
the customer's after-use gratification. By employing an innovative associative classification
method, we are able to predict a customer's ultimate pleasure. Based on customer's …