USING PREDICTIVE USER MODELS FOR LANGUAGE MODELING ON A PERSONAL DEVICE WITH USER BEHAVIOR MODELS BASED ON STATISTICAL MODELING
Patent №
US 7,752,152
Granted
2010-07-06
Filed 2006
Owner
MICROSOFT CORPORATION
Lab
AI components
5
ml · nlp · speech · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11378024
A system and method for prediction of a user goal for command/control of a personal device (e.g., mobile phone) is provided. The system employs statistical model(s) that can predict a command based, at least in part, on past user behavior (e.g., probability distribution over a set of predicates, and, optionally arguments). Further, the system can be employed with a speech recognition component to facilitate language modeling for predicting the user goal.The system can include predictive user models (e.g., predicate model and argument model) that receive a user input (e.g., utterance) and employ statistical modeling to determine the likely command without regard to the actual content of the input (e.g., utterance). The system employs features for predicting the next user goal which can be stored in a user data store. Features can capture personal idiosyncrasies or systematic patterns of usage (e.g., device-related, time-related, predicate-related, contact-specific and/or periodic features).
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 174360908
Assignors
PAEK, TIMOTHY S., CHICKERING, DAVID M.
On an employer assignment, the assignors are typically the inventors.