Sony Interactive Entertainment Inc.

Unitedhealth Group Incorporated

Chen Yao

Sagnik Chowdhury

Ratnakar Pawar

Robert Brown

Jun Murakawa

Richard W Jones

Michael T McSHANE

Embodiments of the present disclosure may include a method for enhancing a video game trophy, including detecting an end game state to a video game corresponding to award of a trophy. Embodiments may also include extracting metadata relating to a structure of the end game state from gameplay information associated with award of the trophy. Embodiments may also include determining metrics for the end game state from the metadata. Embodiments may also include applying a drama engine to the metrics for the end game state to generate commentary data corresponding to commentary on the award of the trophy.

Method for personalizing a video game trophy

A device, system, and non-transitory computer readable medium for providing a specialized agent comprising an application and a virtual assistant are disclosed. The virtual assistant includes a neural network trained with a machine learning algorithm to emulate a communication style of a character and wherein the virtual assistant is further trained on application metadata to a predict response to questions about the application.

Virtual assistant for game discovery

Non-players can vote and comment on uploaded video clips or livestreams of video games played by video game players. The video game players that upload the clips or do the livestreaming and that then receive the most votes can be awarded digital awards. The non-players providing the best comments can also be awarded digital awards. This incentivizes these behaviors, providing ample training data in the process so that the votes and comments can be used to train a model to make inferences related to video game video. For instance, the model may be trained to provide auto-generated comments in real time as a second video game is played, where the comments are in video game domain-specific language.

Gamified annotations during livestream

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for perform predictive data analysis operations using natural language input data. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by using sentence embedding machine learning models that are trained in coordination with similarity-based machine learning models.

Growing community of inventors

Bloomingdale, IL, United States of America

Chen Yao