1
Michael Perkowitz, John E Ball: Sharing and organizing world wide web references using distinctive characters. Microsoft, Law Offices of Michael Dryja, October 24, 2000: US06138128 (175 worldwide citation)

The present invention is directed to sharing and organizing world wide web pages using a number of distinctive characters, each having an interest. In a preferred embodiment, each distinctive character is initialized by associating with it one or more web pages that collectively characterize the int ...


2
Michael Perkowitz, Kevin Francis Eustice, Meliha Yetisgen Yildiz, Kenji Kawai: Electronic message prioritization. Kiha Software, Fenwick & West, January 10, 2012: US08095613 (25 worldwide citation)

A system, method, and computer program product dynamically prioritizes electronic messages. An electronic message having one or more properties is received. These message properties can include, a particular sender or body text. Information describing past activity of a recipient user of the electro ...


3
Michael Perkowitz, Kevin Francis Eustice, Steven M Reed, Jonathan D Lazarus, Kenneth Dwight Krossa: Dynamic gazetteers for entity recognition and fact association. ARO, Fenwick & West, April 23, 2013: US08429099 (12 worldwide citation)

An entity recognition model is trained to use gazetteers to recognize entities referenced in documents. When a document associated with a user is received for recognizing entities referenced therein, a gazetteer is selected based on user contexts associated with the user. The document is analyzed us ...


4
Michael Perkowitz, Andrew Francis Hickl, Kevin F Eustice, Michael Zimmerman: Object-based relationship search using a plurality of sub-queries. ARO, Fenwick & West, June 30, 2015: US09069862 (4 worldwide citation)

A user query including one or more references to objects of various types and/or text keywords is received from a user and processed into sub-queries. Information sources execute the sub-queries and returns search results matching text keywords and/or relating to objects referenced in the user queri ...


5
Kevin Francis Eustice, Nolan Lawson, Meliha Yetisgen Yildiz, Kenji Kawai, Michael Perkowitz, Patrick James Ferrel, Jonathan D Lazarus: Social network model for semantic processing. ARO, Fenwick & West, November 10, 2015: US09183535 (1 worldwide citation)

A social network model, based on data relevant to a user, is used for semantic processing to enable improved entity recognition among text accessed by the user. An entity extraction module of the server, with reference to a general training corpus, general gazetteers, user-specific gazetteers, and e ...


6
Kevin Francis Eustice, Michael Perkowitz: Recommendation agent using a routine model determined from mobile device data. ARO, Fenwick & West, November 3, 2015: US09179250

A user's context history is analyzed to identify transitions between contexts therein. The identified transitions are used to build a routine model for the user. The routine model includes transition rules indicating a source context, a destination context, and, optionally, a probability that the us ...


7
Michael Perkowitz, Kevin Francis Eustice, Andrew F Hickl: Recommendation agent using a personality model determined from mobile device data. ARO, Fenwick & West, April 28, 2015: US09020864

A user's context history is analyzed to build a personality model describing the user's personality and interests. The personality model includes a plurality of metrics indicating the user's position on a plurality of personality dimensions, such as desire for novelty, tendency for extravagance, wil ...


8
Alan Linchuan Liu, Kevin Francis Eustice, Michael Perkowitz: Automatically creating a hierarchical storyline from mobile device data. VULCAN TECHNOLOGIES, Davis Wright Tremaine, August 14, 2018: US10049413

Embodiments create and label contextual slices from observation data and aggregate slices into a hierarchical storyline for a user. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. A storyline is composed of a time-ordered seque ...


9
Brian DeWeese, Erin Mounts, Ian G Clifton, Oliver Crandall Johnson, Kevin Francis Eustice, Michael Perkowitz: Accurate mobile context detection at low sensor cost. ARO, Fenwick & West, January 10, 2017: US09541652

A mobile device includes a plurality of sensors, each with one or more costs associated with it. In order to reduce the cost associated with using the sensors to infer information about the device's current context, a sensor manager first collects readings from relatively low-cost sensors, and attem ...


10
Jonathan D Lazarus, Ned Dykstra Hayes, Michael Perkowitz, Kevin Francis Eustice: Calendaring Location-Based Events and Associated Travel. Kiha Software, Fenwick & West, July 8, 2010: US20100174998-A1

A user interface for an electronic calendar represents different locations or different users or different user calendars in different portions of the display. Calendar entries can be associated with one or more locations, one or more users, and with one or more user calendars. The different locatio ...