Abstract: Disclosed are a video cover generation method, apparatus, electronic device, and readable medium. The at least one method comprises: extracting at least two key frames in the video, wherein the key frame comprises feature information displayed in a cover; according to an action relevance of the at least two key frames, fusing the feature information in the at least two key frames in a single image to generate a cover of the video, wherein the action relevance comprises being relevant or being irrelevant.

Abstract: A technology for propagating themes is provided. In one example, a method may include identifying media having a content feature contained in a presentation of the media. The method may include extracting the content feature of the media as a continuous variable and discretizing the continuous variable into a bucket representing a discrete value. A theme label may be applied to the media and may be propagated to other media with continuous variables discretized into the subset of buckets.

Abstract: An online system identifies users of the online system for a subject user to refer to a third party system. The online system receives a sponsoring request to present referral opportunities to users of the third party system. Based on the sponsoring request, the online system identifies subject users of the online system that use the third party system. Then, referral recommendations are identified for the subject users, and a referral score for each subject user is determined based on the identified referral recommendations for that user. Referral scores are used to select which subject users to present with a referral opportunity. The referral opportunity is presented to the selected subject users, the online system receives a selection of referral recommendations from the subject users and sends a referral from the subject users to each of the selected referral recommendations.

Abstract: Techniques are described for automatically selecting musical content for playback based on an initial “seed” of music selected by a user in a way that seamlessly extends the user's listening experience. The initially selected seed music might be, for example, an album or a playlist. Music that follows the seed music is algorithmically selected to match the music selected by the user.