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This research is a framework with an approach to the user as an evaluation for the recommendation system. Prediction algorithm can provide accuracy to the recommendation system. The recommendation system strongly influences user experience in the recommendation system. The relationship between objective system aspects and user behavior is carried out with a framework based on a collection of perceptions and evaluations with various aspects of subjective experience through personal and situational characteristics of user experiences. This research is also supported by related literature in mapping the framework. In this way, the framework can be validated. Analysis of Field trials and experiments with structural equation modeling. The results showed that the subjective system aspects and user experience could provide an explanation of why and how the user experience emerges from the …