CPC H04N 21/4668 (2013.01) [H04N 21/44218 (2013.01); H04N 21/4882 (2013.01)] | 17 Claims |
1. A method for recommending a real-time audio and/or video, comprising:
acquiring description data of a plurality of real-time audios and/or videos, wherein the description data is configured to summarize contents of the plurality of real-time audios and/or videos;
acquiring user data;
determining at least one candidate real-time audio and/or video in the plurality of real-time audios and/or videos, wherein a degree of association between the description data of the at least one candidate real-time audio and/or video and the user data is greater than a first specified value;
acquiring audio and/or video data of the at least one candidate real-time audio and/or video upon initiation of the at least one candidate real-time audio and/or video, wherein the audio and/or video data comprises at least one of video data, audio data, picture data, or document data;
acquiring, based on the audio and/or video data of the at least one candidate real-time audio and/or video, content data of the at least one candidate real-time audio and/or video, wherein the content data comprises at least one of text data extracted from the video data, text data converted from the audio data, or content contained in the picture data or in the document data;
acquiring a degree of association between the content data of the at least one candidate real-time audio and/or video and the user data;
displaying, based on the degree of association between the content data of the at least one candidate real-time audio and/or video and the user data, a target candidate real-time audio and/or video in the at least one candidate real-time audio and/or video in a user interface, wherein the degree of association between the content data of the target candidate real-time audio and/or video and the user data is the highest;
acquiring the number of viewers of each of the real-time audios and/or videos in response to receiving a switching instruction; and
displaying a real-time audio and/or video with the largest number of viewers in the real-time audios and/or videos in the user interface.
|