Abstract: Multiple video game consoles each store a blockchain ledger with multiple blocks, which is either associated with a particular video game or with a the particular type of video game console that the video game consoles are each characterized by. One of the consoles receives a message identifying an intended transaction corresponding to transfer of an identified quantity of an in-game virtual asset from a transferor account to a transferee account. The console verifies that the intended transaction is valid and generates a new block that includes the transaction, optionally one or more additional verified intended transactions, and a block header that includes a hash of a most recent block in the blockchain ledger. The console appends the new block to the blockchain ledger and transmits it to the other consoles, which each also append the new block to their copy of the blockchain ledger, thereby completing the transaction.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: Systems and methods of network-based learning models for natural language processing are provided. Information may be stored information in memory regarding user interaction with network content. Further, a digital recording of a vocal utterance made by a user may be captured. The vocal utterance may be interpreted based on the stored user interaction information. An intent of the user may be identified based on the interpretation, and a prediction may be made based on the identified intent. The prediction may further correspond to a selected workflow.

Abstract: The present disclosure describes methods and systems directed towards implementing scene tagging. In particular, scene tagging is used to characterize user generated content associated with gameplay information associated with video games. Exemplary user generated content include video recordings or screenshots from within the video game that pertain to events that have occurred. Corresponding metadata would then be used to describe substantive aspects about the user-generated content such as details about where the recording or screenshot was taken, who was included in the user-generated content, and what objects are found in the user-generated content. The associated metadata would 1) allow users to search among various uploaded user generated content and 2) search within portions of those use-generated content for particular sub-sections of interest. Furthermore, the metadata associated with the user-generated content would allow viewers to experience the same events that were recorded.

Abstract: Systems and methods of network-based learning models for natural language processing are provided. Information may be stored information in memory regarding user interaction with network content. Further, a digital recording of a vocal utterance made by a user may be captured. The vocal utterance may be interpreted based on the stored user interaction information. An intent of the user may be identified based on the interpretation, and a prediction may be made based on the identified intent. The prediction may further correspond to a selected workflow.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: Systems and methods of network-based learning models for natural language processing are provided. Information may be stored information in memory regarding user interaction with network content. Further, a digital recording of a vocal utterance made by a user may be captured. The vocal utterance may be interpreted based on the stored user interaction information. An intent of the user may be identified based on the interpretation, and a prediction may be made based on the identified intent. The prediction may further correspond to a selected workflow.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: The present disclosure describes methods and systems directed towards implementing scene tagging. In particular, scene tagging is used to characterize user generated content associated with gameplay information associated with video games. Exemplary user generated content include video recordings or screenshots from within the video game that pertain to events that have occurred. Corresponding metadata would then be used to describe substantive aspects about the user-generated content such as details about where the recording or screenshot was taken, who was included in the user-generated content, and what objects are found in the user-generated content. The associated metadata would 1) allow users to search among various uploaded user generated content and 2) search within portions of those use-generated content for particular sub-sections of interest. Furthermore, the metadata associated with the user-generated content would allow viewers to experience the same events that were recorded.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: Multiple video game consoles each store a blockchain ledger with multiple blocks, which is either associated with a particular video game or with a the particular type of video game console that the video game consoles are each characterized by. One of the consoles receives a message identifying an intended transaction corresponding to transfer of an identified quantity of an in-game virtual asset from a transferor account to a transferee account. The console verifies that the intended transaction is valid and generates a new block that includes the transaction, optionally one or more additional verified intended transactions, and a block header that includes a hash of a most recent block in the blockchain ledger. The console appends the new block to the blockchain ledger and transmits it to the other consoles, which each also append the new block to their copy of the blockchain ledger, thereby completing the transaction.

Abstract: Various aspects of a system and a method for providing one or more game extensions in a gaming environment are disclosed herein. The one or more game extensions that correspond to a selected game are dynamically determined. The game is selected based on a user input at a computing device. The one or more game extensions are transmitted to the computing device. Each of the one or more game extensions are associated with one or more pre-defined configurable actions that are triggered based on user interaction with a respective game extension.

Abstract: Activity feeds let users know about what is happening, and stay connected, with their friends and games. Users are able to discover new and exciting stories, games and friends. The information presented for a particular user is the most relevant information for that user. Relevancy is used to determine the priority of how items/feed stories are presented for a user. Feed stories are shown for a particular user's friends. The most popular trending stories are shown to all users based on relevancy rules. Most popular trending stories are determined based on the ones that have the most comments and likes. The activity feeds relating to a particular type are able to be condensed and presented to the users. Custom actions for the particular type of condensed activity feeds are identical. Condensed activity feeds are displayed using a predefined format “condensed title.

Abstract: Systems and methods of network-based learning models for natural language processing are provided. Information may be stored information in memory regarding user interaction with network content. Further, a digital recording of a vocal utterance made by a user may be captured. The vocal utterance may be interpreted based on the stored user interaction information. An intent of the user may be identified based on the interpretation, and a prediction may be made based on the identified intent. The prediction may further correspond to a selected workflow.

Abstract: Activity feeds let users know about what is happening, and stay connected, with their friends and games. Users are able to discover new and exciting stories, games and friends. The information presented for a particular user is the most relevant information for that user. Relevancy is used to determine the priority of how items/feed stories are presented for a user. Feed stories are shown for a particular user's friends. The most popular trending stories are shown to all users based on relevancy rules. Most popular trending stories are determined based on the ones that have the most comments and likes. The activity feeds relating to a particular type are able to be condensed and presented to the users. Custom actions for the particular type of condensed activity feeds are identical. Condensed activity feeds are displayed using a predefined format “condensed title.

Abstract: Various aspects of a system and a method for providing one or more game extensions in a gaming environment are disclosed herein. The one or more game extensions that correspond to a selected game are dynamically determined. The game is selected based on a user input at a computing device. The one or more game extensions are transmitted to the computing device. Each of the one or more game extensions are associated with one or more pre-defined configurable actions that are triggered based on user interaction with a respective game extension.

Abstract: Activity feeds let users know about what is happening, and stay connected, with their friends and games. Users are able to discover new and exciting stories, games and friends. The information presented for a particular user is the most relevant information for that user. Relevancy is used to determine the priority of how items/feed stories are presented for a user. Feed stories are shown for a particular user's friends. The most popular trending stories are shown to all users based on relevancy rules. Most popular trending stories are determined based on the ones that have the most comments and likes. The activity feeds relating to a particular type are able to be condensed and presented to the users. Custom actions for the particular type of condensed activity feeds are identical. Condensed activity feeds are displayed using a predefined format “condensed title.

Abstract: Activity feeds let users know about what is happening, and stay connected, with their friends and games. Users are able to discover new and exciting stories, games and friends. The information presented for a particular user is the most relevant information for that user. Relevancy is used to determine the priority of how items/feed stories are presented for a user. Feed stories are shown for a particular user's friends. The most popular trending stories are shown to all users based on relevancy rules. Most popular trending stories are determined based on the ones that have the most comments and likes. The activity feeds relating to a particular type are able to be condensed and presented to the users. Custom actions for the particular type of condensed activity feeds are identical. Condensed activity feeds are displayed using a predefined format “condensed title.