Intent Recognition

Automatic intent recognition, also referred to as plan recognition, is a critical challenge for intelligent user interfaces (to determine what a user is trying to do, and how the UI can offer help), computer security (to determine the objectives of an attacker), sketch understanding, natural language understanding, and other contemporary problems. SIFT researchers pioneered the use of Bayesian probabilistic methods in intent recognition. In cooperation with University researchers, SIFT has developed the Yappr system for intent recognition that achieves new levels of computational efficiency by using sophisticated techniques based on parsing.

Research Evolution