Rovi Guides, Inc.

Adeia Guides Inc.

Sangeeta Parida

Govind Raveendranathan Nair

Amrit Srivastava

Rajendran Pichaimurthy

Prakash Viswanathan

Daina Emmanuel

Anupam Mangal

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.

Gaming content recommendation based on gaming performance

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.

Systems and methods for behavior-based characterization of avatars in a computer-generated environment

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.

Gaming content recommendation for a video game

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.

Systems and methods for a gear-based UI to facilitate efficient navigation

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.

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Delhi, India

Sangeeta Parida