Abstract:
Mechanisms are provided that: identify topics associated with a plurality of pieces of media content presented in a session; calculate a distance metric for pairs of topics, wherein each of the pairs of topics includes a first topic associated with a first piece of media content and a second topic associated with a second piece of media content, and wherein the second piece of media content was presented within a given span of the presentation of the first piece of media content; for each first topic of the pairs of topics, generate a rank-ordered list for all corresponding second topics; for each of the plurality of pieces of media content, generate a single rank-ordered list of all second topics; and for each of the plurality of pieces of media content, identify one or more other pieces of media content as recommended media content based on the single rank-ordered list.
Abstract:
A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.
Abstract:
A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.
Abstract:
Mechanisms are provided that: identify topics associated with a plurality of pieces of media content presented in a session; calculate a distance metric for pairs of topics, wherein each of the pairs of topics includes a first topic associated with a first piece of media content and a second topic associated with a second piece of media content, and wherein the second piece of media content was presented within a given span of the presentation of the first piece of media content; for each first topic of the pairs of topics, generate a rank-ordered list for all corresponding second topics; for each of the plurality of pieces of media content, generate a single rank-ordered list of all second topics; and for each of the plurality of pieces of media content, identify one or more other pieces of media content as recommended media content based on the single rank-ordered list.
Abstract:
Methods and systems to locate related digital content items in a content access log. In one embodiment, the method comprises extracting user events from a content access log, tagging each event as positive or negative, determining if a content item is positively interacted and processing the tagged items in a sliding window to determine positive interactions between a pair of content items.
Abstract:
This disclosure relates to adaptive recommendations for user-generated mediasets. A mediaset component provides for users to generate mediasets. A user-generated mediaset can include a user-generated playlist or a user-generated media channel. A monitoring component monitors consumption of media, e.g., by a consumer. A relatedness component determines a set of the user-generated mediasets that are related to the media consumed by the consumer. A recommendation component recommends a subset of the user-generated mediasets based on a set of criteria. A rights management component determines a set of authorizations of the consumer for respective media content associated with the set of user-generated mediasets, and takes at least one action based on the set of authorizations, e.g., updating one of the mediasets based on the set of authorizations.
Abstract:
Systems and methods for segmenting a video based on user engagement in respective segments of the video are presented. In one or more aspects, a system is provided that includes an engagement component configured to receive information regarding respective engagement of a plurality of users in connection with respective segments of a video. The system further includes an analysis component configured to analyze the information and calculate user engagement scores for the respective video segments, wherein the user engagement scores reflect level of the plurality of users' interest regarding the respective video segments, and an identification component configured to identify a subset of the video segments associated with relatively higher user engagement scores in comparison to other video segments.
Abstract:
Mechanisms are provided that: identify topics associated with a plurality of pieces of media content presented in a session; calculate a distance metric for pairs of topics, wherein each of the pairs of topics includes a first topic associated with a first piece of media content and a second topic associated with a second piece of media content, and wherein the second piece of media content was presented within a given span of the presentation of the first piece of media content; for each first topic of the pairs of topics, generate a rank-ordered list for all corresponding second topics; for each of the plurality of pieces of media content, generate a single rank-ordered list of all second topics; and for each of the plurality of pieces of media content, identify one or more other pieces of media content as recommended media content based on the single rank-ordered list.
Abstract:
Methods and systems to locate related digital content items in a content access log. In one embodiment, the method comprises extracting user events from a content access log, tagging each event as positive or negative, determining if a content item is positively interacted and processing the tagged items in a sliding window to determine positive interactions between a pair of content items.
Abstract:
A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.