Classification experience, as an important way of product information recommendation in AI recommendation system, will have an important impact on consumers’ perceived behavior. Although there is a lot of research on intelligent recommendation, fewer existing studies have explored the impact of classification experience under AI recommendation on their willingness to continue to use it from the perspective of user experience. In this paper, based on the social exchange theory, we use the experimental method to collect data in three different AI recommendation scenarios (songs, novels, and shoes) to validate the mechanism of the influence of categorization experience on users’ willingness to continue to use the AI recommendation system, and reveal the mediating role of the users’ sense of being understood and the moderating role of the uniqueness demand. This study contributes to a better understanding of the different behavioral responses of users to different perceptions of AI recommendation results, and expands the use of AI in marketing.