Recommendation method for audio and video programs

The invention discloses a recommendation method for audio and video programs. The recommendation method includes collecting program information and user behavioral data of audio and video programs browsed by users; generating corresponding recommendation snapshots of the audio and video programs for the users according to the program information and the user behavioral data; and recommending audio and video programs to the users according to the recommendation snapshots of the audio and video programs. According to the technical scheme of the recommendation method for the audio and video programs, points of interest of the users can be accurately targeted, and experience of the users can be greatly improved, so that the recommendation snapshots obtained through intelligent analysis according to behaviors and tastes of the users are provided for each user, and searching experience of the users and browsing and watching rates of members are greatly improved.