User-system dialog expansion

• Main Authors: Rastogi, Pushpendre, Gupta, Arpit, Singh, Arshdeep, Pham, Hung Tuan, Kumar, Mayank, Nave, John Arland, Kortha, Nikhil Reddy, Curtis, Dean, Prasad, Rohit, Sethy, Abhinav, Sarikaya, Ruhi, Parastatidis, Savas, Jain, Nitin Ashok, Dahiwade, Nakul
• Format: Patent
• Language: English
• Published: 13.12.2022
• Subjects: ACOUSTICS; CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MUSICAL INSTRUMENTS; PHYSICS; SPEECH ANALYSIS OR SYNTHESIS; SPEECH OR AUDIO CODING OR DECODING; SPEECH OR VOICE PROCESSING; SPEECH RECOGNITION

Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning mode...