Persona driven dynamic content framework

    公开(公告)号:US12109496B2

    公开(公告)日:2024-10-08

    申请号:US17656322

    申请日:2022-03-24

    CPC classification number: A63F13/79 A63F13/69 A63F2300/5546

    Abstract: A persona system determines a player persona for a player of a gaming system based on gameplay information for the user and, for example, performs dynamic content generation or additional product recommendations based on the player persona. The persona system may receive a request for content based on a persona of a player and receive gameplay data associated with gameplay of the player in a plurality of games. The persona system may then generate a player persona of the player based on the gameplay data associated with the gameplay of the player in the plurality of games, determine persona based content based at least in part on a portion of the player persona, and output the persona based content in response to the request.

    Detecting high-skilled entities in low-level matches in online games

    公开(公告)号:US12042736B2

    公开(公告)日:2024-07-23

    申请号:US17457194

    申请日:2021-12-01

    CPC classification number: A63F13/798

    Abstract: A high-skilled-low-level detection system may detect high-skilled entities in low-level matches of an online gaming. The system may identify a plurality of entities that are within a first category of entities eligible to be matched by a matchmaking algorithm. The system may then determine respective feature sets based at least in part on gameplay data associated with the plurality of entities and perform anomaly detection on the respective feature sets. The system may then determine, based on the anomaly detection, an anomalous entity of the plurality of entities and cause the matchmaking algorithm to match the anomalous entity with other entities that are in a second category of entities.

    Detecting collusion in online games

    公开(公告)号:US11717757B2

    公开(公告)日:2023-08-08

    申请号:US17302837

    申请日:2021-05-13

    CPC classification number: A63F13/75 A63F13/35

    Abstract: A collusion detection system may detect collusion between entities participating in online gaming. The collusion detection system may identify a plurality of entities associated with and opponents within an instance of an online game, determine social data associated with the plurality of entities, determine in-game behavior data associated with the plurality of entities, and determine, for one or more pairings of the plurality of entities, respective pairwise feature sets based at least in part on the social data and the in-game behavior data. The collusion detection system may then perform anomaly detection on the respective pairwise feature sets and, in response to the anomaly detection detecting one or more anomalous pairwise feature sets, output one or more suspect pairings of the plurality of entities corresponding to the one or more anomalous pairwise feature sets as suspected colluding pairings.

    PERSONALIZING ANIMATIONS FROM PLAYER PLAYSTYLE

    公开(公告)号:US20240325923A1

    公开(公告)日:2024-10-03

    申请号:US18194425

    申请日:2023-03-31

    Abstract: A personalization system determines a playstyle associated with a player of a gaming system based on gameplay information for the player and, for example, generates personalized animation for the player based on the player's playstyle. The personalization system can receive gameplay data associated with a playstyle of a player in one or more games and receive persona data associated with the player and the gameplay. The persona system can generate an animation for the player based on the gameplay data associated with the playstyle of the player in the one or more games, dynamically generate, based at least in part on a portion of the playstyle of the player, content including personalized animation, wherein the content including personalized animation is dynamically generated personalized content associated with the player, and transmit the content including personalized animation for presentation in a game associated with the player.

    AUTOMATED PERSONALIZED VIDEO GAME GUIDANCE SYSTEM

    公开(公告)号:US20240325901A1

    公开(公告)日:2024-10-03

    申请号:US18193158

    申请日:2023-03-30

    CPC classification number: A63F13/5375 A63F13/79 G06N3/092

    Abstract: A device may access a feature vector generated based on interactions by a user with a video game. The device may access a cluster map comprising a mapping of user clusters, wherein each location within the cluster map is associated with a set of users whose feature vectors are within a threshold degree of similarity of each other. The cluster map may be generated using a plurality of extracted feature vectors obtained from interaction information. A device may determine a map location within the cluster map associated with the user based at least in part on the feature vector. A device may determine a target map location within the cluster map. A device may determine a guidance action based at least in part on the target map location and the map location associated with the user. A device may execute the guidance action.

    DETECTING COLLUSION IN ONLINE GAMES

    公开(公告)号:US20220362677A1

    公开(公告)日:2022-11-17

    申请号:US17302837

    申请日:2021-05-13

    Abstract: A collusion detection system may detect collusion between entities participating in online gaming. The collusion detection system may identify a plurality of entities associated with and opponents within an instance of an online game, determine social data associated with the plurality of entities, determine in-game behavior data associated with the plurality of entities, and determine, for one or more pairings of the plurality of entities, respective pairwise feature sets based at least in part on the social data and the in-game behavior data. The collusion detection system may then perform anomaly detection on the respective pairwise feature sets and, in response to the anomaly detection detecting one or more anomalous pairwise feature sets, output one or more suspect pairings of the plurality of entities corresponding to the one or more anomalous pairwise feature sets as suspected colluding pairings.

    PERSONA DRIVEN DYNAMIC CONTENT FRAMEWORK

    公开(公告)号:US20220212114A1

    公开(公告)日:2022-07-07

    申请号:US17656322

    申请日:2022-03-24

    Abstract: A persona system determines a player persona for a player of a gaming system based on gameplay information for the user and, for example, performs dynamic content generation or additional product recommendations based on the player persona. The persona system may receive a request for content based on a persona of a player and receive gameplay data associated with gameplay of the player in a plurality of games. The persona system may then generate a player persona of the player based on the gameplay data associated with the gameplay of the player in the plurality of games, determine persona based content based at least in part on a portion of the player persona, and output the persona based content in response to the request.

    Persona driven dynamic content framework

    公开(公告)号:US11311810B1

    公开(公告)日:2022-04-26

    申请号:US17074314

    申请日:2020-10-19

    Abstract: A persona system determines a player persona for a player of a gaming system based on gameplay information for the user and, for example, performs dynamic content generation or additional product recommendations based on the player persona. The persona system may receive a request for content based on a persona of a player and receive gameplay data associated with gameplay of the player in a plurality of games. The persona system may then generate a player persona of the player based on the gameplay data associated with the gameplay of the player in the plurality of games, determine persona based content based at least in part on a portion of the player persona, and output the persona based content in response to the request.

    PERSONA DRIVEN DYNAMIC CONTENT FRAMEWORK

    公开(公告)号:US20220118364A1

    公开(公告)日:2022-04-21

    申请号:US17074314

    申请日:2020-10-19

    Abstract: A persona system determines a player persona for a player of a gaming system based on gameplay information for the user and, for example, performs dynamic content generation or additional product recommendations based on the player persona. The persona system may receive a request for content based on a persona of a player and receive gameplay data associated with gameplay of the player in a plurality of games. The persona system may then generate a player persona of the player based on the gameplay data associated with the gameplay of the player in the plurality of games, determine persona based content based at least in part on a portion of the player persona, and output the persona based content in response to the request.

    DETECTING COLLUSION IN ONLINE GAMES

    公开(公告)号:US20240367058A1

    公开(公告)日:2024-11-07

    申请号:US18777297

    申请日:2024-07-18

    Abstract: A collusion detection system may detect collusion between entities participating in online gaming. The collusion detection system may identify a plurality of entities associated with and opponents within an instance of an online game, determine social data associated with the plurality of entities, determine in-game behavior data associated with the plurality of entities, and determine, for one or more pairings of the plurality of entities, respective pairwise feature sets based at least in part on the social data and the in-game behavior data. The collusion detection system may then perform anomaly detection on the respective pairwise feature sets and, in response to the anomaly detection detecting one or more anomalous pairwise feature sets, output one or more suspect pairings of the plurality of entities corresponding to the one or more anomalous pairwise feature sets as suspected colluding pairings.

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