Abstract: Techniques for identifying relevance of a video are disclosed herein. In some embodiments, a computer-implemented method comprises: causing a video to be played on a device of a user; receiving, from the device, an instruction to share the video with another user, the instruction corresponding to a point-in-time in the video; identifying text in a transcript of the video based on the point-in-time; causing the identified text to be displayed on the device based on the instruction to share the video; receiving, from the device, an instruction to include user-approved text along with the video in the sharing of the video with the one or more other users, the user-approved text comprising at least a portion of the identified text; and causing the user-approved text to be displayed on a device of the other user in association with the video based on the instructions to share and include.

Abstract: Techniques for identifying relevance of a video are disclosed herein. In some embodiments, a computer-implemented method comprises: causing a video to be played on a device of a user; receiving, from the device, an instruction to share the video with another user, the instruction corresponding to a point-in-time in the video; identifying text in a transcript of the video based on the point-in-time; causing the identified text to be displayed on the device based on the instruction to share the video; receiving, from the device, an instruction to include user-approved text along with the video in the sharing of the video with the one or more other users, the user-approved text comprising at least a portion of the identified text; and causing the user-approved text to be displayed on a device of the other user in association with the video based on the instructions to share and include.

Abstract: Techniques for identifying relevance of a video are disclosed herein. In some embodiments, a computer-implemented method comprises: causing a video to be played on a device of a user; receiving, from the device, an instruction to share the video with another user, the instruction corresponding to a point-in-time in the video; identifying text in a transcript of the video based on the point-in-time; causing the identified text to be displayed on the device based on the instruction to share the video; receiving, from the device, an instruction to include user-approved text along with the video in the sharing of the video with the one or more other users, the user-approved text comprising at least a portion of the identified text; and causing the user-approved text to be displayed on a device of the other user in association with the video based on the instructions to share and include.

Abstract: In order to acquire content about an event, a collection group of users of a social network may be dynamically identified. This collection group of users may be relevant to and/or proximate to the event. For example, the collection group of users may be identified based on their user or member profiles and characteristics of the event. Then, recommendations may be provided to the collection group of the users to acquire content, such as an image or a video associated with the event. Moreover, acquired content may be subsequently presented to the users of the social network. In addition, the behaviors of the users in the social network (such as a number of views of the content and/or a duration of the views) may be used to determine the event characteristics that are the most interesting to the users, thereby improving future content acquisition.

Abstract: In order to dynamically generate customized content, a set of format options for a document (including layout and/or ordering) may be defined and user behaviors in a social network associated with different versions of the document may be tracked. For example, the user behaviors may include a number of views of the document, a percentage of the document viewed and/or a viewing time of the document. This customization technique allows feedback based on user behaviors to guide revisions to the format of the document, such as selecting different format options for particular subgroups of the users (which may even be individually specific). The resulting customized content can be presented concurrently, so that different users can view different versions of the same document at the same time.

Abstract: In order to obtain comments about video content (such as a posted video), a subset of users of a social network may be dynamically identified. This subset of users may be relevant to or may have expertise about the video content. For example, the subset of users may be identified based on their user or member profiles and characteristics of the video content. Then, requests may be iteratively provided to the subset of the users to encourage them to comment on the video content, as well as previous comments from the subset of the users. After editing the comments (which may include reordering the comments that are received at different times), the edited comments may be subsequently presented to the users of the social network.