Abstract: The invention relates to determining activities to be performed by non-player characters (NPC) in an interactive experience, e.g. video game. Activities, e.g. dialogue, are generated using generative machine learning models using a received input activity from a player, an entire established context/lore within the experience, and a set of activity history within the experience, as input. The invention involves updating the entire established context/lore based on a comparison of semantic content of the entire established context and semantic content of the generated activity of the NPC. The invention involves determining subsequent activities to be performed by NPCs based on the updated entire established context/lore, thereby providing consistency within the experience.

Abstract: A computer-implemented machine-learning method and system for searching for resources by predicting an intention and pushing resources directly to users based on the predicted intention. The method includes receiving a description of a context; generating a set of weighted expressions, each weighed expression comprising a restriction over the description of the context and a confidence factor resulting between the combination of the user model and of the query input; and generating a sorted list of resources matching the weighted list of expressions. The system includes computer instructions for an intention inference engine and an intelligent ranking engine.

Abstract: A computer-implemented machine-learning method and system for searching for resources by predicting an intention and pushing resources directly to users based on the predicted intention. The method includes receiving a description of a context; generating a set of weighted expressions, each weighed expression comprising a restriction over the description of the context and a confidence factor resulting between the combination of the user model and of the query input; and generating a sorted list of resources matching the weighted list of expressions. The system includes computer instructions for an intention inference engine and an intelligent ranking engine.