Personalized post recommendation method based on preference of user to post popularity

The invention discloses a personalized post recommendation method based on the preference of a user for post popularity, and the method comprises the steps: enabling the user to have different preference degrees for posts with different popularity, and carrying out the recommendation of the post popularity through employing the different preference degrees of the user for the posts with different popularity; uninterested posts are screened out to serve as a negative sample set and applied to negative sampling training of the generative adversarial network, personalized preferences of users are introduced, the average popularity of user interaction post records is calculated to serve as a preference value of the users for popularity, the average popularity of post interaction is calculated to serve as the preference value of the users for the popularity, and the user experience is improved. Post sets which may not be interested in among non-interactive posts are found out for users who prefer high-popularity p