Abstract: Generally disclosed herein is an approach for identifying unwanted or skipped portions of streaming content and determining additional potential skippable portions from the same streaming content or different streaming content. The skipped portions of the streaming content may be tagged and stored in a database. The database may be updated whenever the streaming content system detects the user skipping certain portions of the streaming content. The streaming content system may modify the next streaming content by removing or shortening the potential skippable portions based on a comparison to the data stored in the database.

Abstract: Generally disclosed herein is a system and method for automatically updating individual viewer profiles based on group viewing of streaming content on a common screen. Particular streaming content may be marked for group viewing. One or more viewing groups may be defined, wherein the viewing groups are linked to individual profiles corresponding to multiple individual viewers. When a viewing group views the particular streaming content, viewing progress may be marked on each of the individual profiles corresponding to the multiple individual viewers in the group. When one or more individual members of a group view the particular content independently, viewing progress of those individual members may be published to other members of the viewing group. In this regard, the other members of the viewing group can catch up.

Abstract: Systems and methods for a computer-based process that detects improper behavior of avatars in a computer-generated environment, and marks these avatars accordingly, so that other users may perceive marked avatars as bad actors. Systems of embodiments of the disclosure may monitor avatar speech, text, and actions. If the system detects behavior it deems undesirable, such as behavior against any laws or rules of the environment, abusive or obscene language, and the like, avatars committing or associated with this behavior are marked in some manner that is visually apparent to other users. In this manner, improperly-behaving avatars may be more easily recognized and avoided, thus improving the experience of other users.

Abstract: Generally disclosed herein is an approach for enabling a substitute user to continue from the original user's saved participation state when the original user left an online multi-user event. The original user's state may be stored as a token. The stored token may be generated based on a plurality of parameters including, but not limited to, the user's role, achievement, skills, and position. The stored token may be sent with an invitation to multiple prospective substitute users. One of the prospective substitute users may accept the invitation by downloading the token. The accepted prospective substitute user may participate in the online multi-user event continuing from the original user's saved state.

Abstract: Systems and methods for recommending video game content based on video game performance are disclosed. A level is identified from among a sequence of playable levels of a currently active video game. A video game performance metric for the identified level is determined. Based on the determined video game performance metric, a video of a performance of the identified level of the video game is selected for recommendation from among a plurality of videos stored in a database in association with corresponding video game performance metrics. An option, which is selectable to cause playback of the selected video, is transmitted for display via a computing device.

Abstract: Systems and methods for generating a gear-based user interface for display are disclosed. A user equipment device may generate for display a first gear shape, a second gear shape, and a third gear shape. The first gear shape comprises a first plurality of media identifiers, where a first media identifier of the first plurality is selected. The second gear shape comprises a second plurality of media identifiers that are representative of a group indicated by the selected first media identifier, where a second media identifier is selected. The third gear shape comprises a third plurality of options for a media asset indicated by the selected second media identifier. Upon input indicating that the first gear shape is to be rotated, the second gear shape is rotated with the first gear shape based on the rotation of the first gear shape.

Abstract: Systems and methods for providing game content recommendation of a video game based on player's performance are disclosed. Prior to an actual video game play, a performance metric is calculated based on a stored player data and video settings of the game. The performance metric is evaluated to further calculate a performance metric of video game play session content indicative of aspects of actual video game play. A metrics data of each player in determined from the video game play session content. The player metrics data is analyzed relative to the stored player data and the video settings of the game to determine whether to recommend the video game play session content.

Abstract: Systems and methods for recommending video game content based on video game performance are disclosed. A level is identified from among a sequence of playable levels of a currently active video game. A video game performance metric for the identified level is determined. Based on the determined video game performance metric, a video of a performance of the identified level of the video game is selected for recommendation from among a plurality of videos stored in a database in association with corresponding video game performance metrics. An option, which is selectable to cause playback of the selected video, is transmitted for display via a computing device.

Abstract: Systems and methods for a computer-based process that detects improper behavior of avatars in a computer-generated environment, and marks these avatars accordingly, so that other users may perceive marked avatars as bad actors. Systems of embodiments of the disclosure may monitor avatar speech, text, and actions. If the system detects behavior it deems undesirable, such as behavior against any laws or rules of the environment, abusive or obscene language, and the like, avatars committing or associated with this behavior are marked in some manner that is visually apparent to other users. In this manner, improperly-behaving avatars may be more easily recognized and avoided, thus improving the experience of other users.

Abstract: Systems and methods for generating a gear-based user interface for display are disclosed. A user equipment device may generate for display a first gear shape, a second gear shape, and a third gear shape. The first gear shape comprises a first plurality of media identifiers, where a first media identifier of the first plurality is selected. The second gear shape comprises a second plurality of media identifiers that are representative of a group indicated by the selected first media identifier, where a second media identifier is selected. The third gear shape comprises a third plurality of options for a media asset indicated by the selected second media identifier. Upon input indicating that the first gear shape is to be rotated, the second gear shape is rotated with the first gear shape based on the rotation of the first gear shape.

Abstract: Systems and methods for providing game content recommendation of a video game based on player's performance are disclosed. Prior to an actual video game play, a performance metric is calculated based on a stored player data and video settings of the game. The performance metric is evaluated to further calculate a performance metric of video game play session content indicative of aspects of actual video game play. A metrics data of each player in determined from the video game play session content. The player metrics data is analyzed relative to the stored player data and the video settings of the game to determine whether to recommend the video game play session content.

Abstract: Systems and methods for a computer-based process that detects improper behavior of avatars in a computer-generated environment, and marks these avatars accordingly, so that other users may perceive marked avatars as bad actors. Systems of embodiments of the disclosure may monitor avatar speech, text, and actions. If the system detects behavior it deems undesirable, such as behavior against any laws or rules of the environment, abusive or obscene language, and the like, avatars committing or associated with this behavior are marked in some manner that is visually apparent to other users. In this manner, improperly-behaving avatars may be more easily recognized and avoided, thus improving the experience of other users.

Abstract: Systems and methods for a computer-based process that detects improper behavior of avatars in a computer-generated environment, and marks these avatars accordingly, so that other users may perceive marked avatars as bad actors. Systems of embodiments of the disclosure may monitor avatar speech, text, and actions. If the system detects behavior it deems undesirable, such as behavior against any laws or rules of the environment, abusive or obscene language, and the like, avatars committing or associated with this behavior are marked in some manner that is visually apparent to other users. In this manner, improperly-behaving avatars may be more easily recognized and avoided, thus improving the experience of other users.

Abstract: Systems and methods for recommending video game content based on video game performance are disclosed. A level is identified from among a sequence of playable levels of a currently active video game. A video game performance metric for the identified level is determined. Based on the determined video game performance metric, a video of a performance of the identified level of the video game is selected for recommendation from among a plurality of videos stored in a database in association with corresponding video game performance metrics. An option, which is selectable to cause playback of the selected video, is transmitted for display via a computing device.

Abstract: Systems and methods for providing game content recommendation of a multiplayer online battle arena (MOBA) video game based on player's performance are disclosed. Prior to an actual MOBA video game play, a player data stored for each player of each team is analyzed to evaluate a video game session content. The player data is associated with the video game play session and stored settings for the MOBA video game. The player data includes attack metrics, defense metrics, and damage metrics to determine to evaluate the video game play session content. During the actual MOBA video game play, an in-game performance of each player of each team in the video game play session content is analyzed to recommend the video game plays session. Such analysis is based on game map of the video game play session and in game metrics determined from the video game play session.

Abstract: Systems and methods for recommending video game content based on video game performance are disclosed. A level is identified from among a sequence of playable levels of a currently active video game. A video game performance metric for the identified level is determined. Based on the determined video game performance metric, a video of a performance of the identified level of the video game is selected for recommendation from among a plurality of videos stored in a database in association with corresponding video game performance metrics. An option, which is selectable to cause playback of the selected video, is transmitted for display via a computing device.

Abstract: Systems and methods for providing game content recommendation of a multiplayer online battle arena (MOBA) video game based on player's performance are disclosed. Prior to an actual MOBA video game play, a player data stored for each player of each team is analyzed to evaluate a video game session content. The player data is associated with the video game play session and stored settings for the MOBA video game. The player data includes attack metrics, defense metrics, and damage metrics to determine to evaluate the video game play session content. During the actual MOBA video game play, an in-game performance of each player of each team in the video game play session content is analyzed to recommend the video game plays session. Such analysis is based on game map of the video game play session and in game metrics determined from the video game play session.

Abstract: Systems and methods for providing game content recommendation of a video game based on player's performance are disclosed. Prior to an actual video game play, a performance metric is calculated based on a stored player data and video settings of the game. The performance metric is evaluated to further calculate a performance metric of video game play session content indicative of aspects of actual video game play. A metrics data of each player in determined from the video game play session content. The player metrics data is analyzed relative to the stored player data and the video settings of the game to determine whether to recommend the video game play session content.

Abstract: Systems and methods for recommending video game content based on video game performance are disclosed. A level is identified from among a sequence of playable levels of a currently active video game. A video game performance metric for the identified level is determined. Based on the determined video game performance metric, a video of a performance of the identified level of the video game is selected for recommendation from among a plurality of videos stored in a database in association with corresponding video game performance metrics. An option, which is selectable to cause playback of the selected video, is transmitted for display via a computing device.

Abstract: Systems and methods for generating a gear-based user interface for display are disclosed. A user equipment device may generate for display a first gear shape, a second gear shape, and a third gear shape. The first gear shape comprises a first plurality of media identifiers, where a first media identifier of the first plurality is selected. The second gear shape comprises a second plurality of media identifiers that are representative of a group indicated by the selected first media identifier, where a second media identifier is selected. The third gear shape comprises a third plurality of options for a media asset indicated by the selected second media identifier. Upon input indicating that the first gear shape is to be rotated, the second gear shape is rotated with the first gear shape based on the rotation of the first gear shape.