The patent abstract shows that the present invention discloses a blockchain big data recommendation method based on artificial intelligence, which relates to the field of blockchain technology. The steps of the recommendation method are: S1. Collect user behavior data and use blockchain technology. Store encrypted behavioral data; S2, preprocess the behavioral data and extract key features from the behavioral data; the technical points are: preliminary screening of popular content by setting a demarcation threshold, and then combined with in-depth analysis of content features to evaluate Evaluate the correlation between content to ensure that the recommended content is not only popular, but also highly relevant to the user's current interests, so that the recommendation system can more accurately match the user's points of interest; implement a recommendation blocking mechanism to allow users to choose whether to continue to receive recommended content, Enhance user control. In addition, by regularly asking users for their wishes and adjusting the frequency of inquiries based on user response speed, we provide a more personalized user experience, thereby improving overall user satisfaction and system usage efficiency.