PERSONALIZED ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE MODELS BASED UPON USER-DEFINED SEMANTIC CONTEXT AND ACTIVITIES

PERSONALIZED ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE MODELS BASED UPON USER-DEFINED SEMANTIC CONTEXT AND ACTIVITIES

An artificial intelligence ("AI") engine generates an activity graph that includes nodes corresponding to activities and that defines clusters of content associated with the activities. A natural language ("NL") search engine can receive a NL query and parse the NL query to ident...

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Bibliographische Detailangaben
Hauptverfasser: JOSHI, Yogesh Madhukarrao, SACHIDANANDAM, Vignesh, KULKARNI, Aniruddha Prabhakar, GATES, III, William Henry, MYHRE, Nathaniel M
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Zusammenfassung:An artificial intelligence ("AI") engine generates an activity graph that includes nodes corresponding to activities and that defines clusters of content associated with the activities. A natural language ("NL") search engine can receive a NL query and parse the NL query to identify entities and intents specified by the NL query. Clusters of content defined by the activity graph can be identified based upon the identified entities and intents. A search can then be made of the identified clusters of content using the entities and intents. Search results identifying the content located by the search can then be returned in response to the NL query.