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Usually, the user preferences change over time which implies the need to adapt the recommendation technique used in order to recommend pertinent items. For this reason, in this paper we propose a new dynamic approach that follows the change of user's interests over time to propose the appropriate recommendation technique. The proposed approach is based on meta-knowledge called explanation and a hybrid approach, and has two main phases: the first phase is to fill the meta-knowledge database with explanations using a hybrid recommendation approach. In the second phase, we calculate the average of each explanation for a user to determine the recommendation technique to use.