Sri International

Stephen L Hardt

Thierry Donneau-Golencer

Adam John Cheyer

Kenneth C Nitz

Leslie Pound

Bart Peintner

Neil Yorke-Smith

Melinda Gervasio

David Dunkley

Pauline M Berry

The present invention relates to a method and apparatus for assembling a set of documents related to a triggering item. One embodiment of a method for assembling a set of electronic documents related to an electronic triggering item detected by a computing device being operated by a user includes automatically extracting by the computing device a set of features from the triggering item, without receiving a request by the user to assemble the set of electronic documents, and assembling as the set of electronic documents a plurality of documents that is relevant to the set of features, wherein the plurality of documents is retrieved from a plurality of different types of electronic sources.

Method and apparatus for assembling a set of documents related to a triggering item

The present invention relates to an electronic assistant. In one embodiment, a system for processing data on a computing device includes at least one extractor for extracting data from an email to produce extracted data, a user model for generating a high-level model of an email environment on the computing device, based on the extracted data, and at least one predictor for generating a prediction related to the email, based on the extracted data and on the high-level model. In another embodiment, a system for scheduling an event includes an extractor for extracting constraints from a request for the event, a user model for receiving and storing scheduling preferences from a user, and a predictor coupled to the extractor and to the user model, for generating a candidate schedule for the event in accordance with the constraints and the scheduling preferences.

Electronic assistant for making predictions based on user messages

A method and system for finding content having a desired similarity to an input or source content includes using a similarity model including information and associations derived from content processed by one or more content analyzers to find and/or arrange content having a desired type and/or degree of similarity to the input or source content.

Method and system for finding content having a desired similarity

Growing community of inventors

Woodinville, WA, United States of America

Stephen L Hardt