Savi Technology, Inc.

Deal Magic Inc.

Google Inc.

Neil Smith

Nicholas D Cova

Brian Strope

Balint Miklos

Tobias Kaufmann

Yun-hsuan Sung

Noah Constant

Victor Anchidin

Amr Abdelfattah

Heeyoung Lee

László Lukacs

Jan Van De Kerkhof

Bjarke Ebert

A system may use a machine-learned model to determine whether to classify a sequence of one or more words within a first document that is being edited as a candidate hyperlink based at least in part on context associated with the first document. In response to classifying the sequence of one or more words as the candidate hyperlink, the system may use the machine-learned model and based at least in part on the sequence of one or more words and the context to determine one or more candidate document to be hyperlinked from the sequence of one or more words. In response to receiving an indication of a second document being selected out of the one or more candidate documents, the system may modify the first document to associate the sequence of one or more words with a hyperlink to the second document.

Automatic hyperlinking of documents

Techniques for monitoring and tracking assets and providing notifications to users are disclosed. In one aspect, a request to track an asset and enterprise data describing the asset are received, a tag is selected to associate with the asset, an event notification is received from the tag, and a user notification is generated from the event notification and the enterprise data. In another aspect, a request for a tag is received, a tag is selected in response to the request, a tag is routed to the origin location for the tag, a notification is received that the tag has arrived at a destination location, and the tag is routed from the destination location to a tag pool.

Asset monitoring and tracking system

Growing community of inventors

Palo Alto, CA, United States of America

Neil Smith