Timothy Michael Regan

US Patent:

7640341, Dec 29, 2009

Filed:

Jun 19, 2003

Appl. No.:

10/600237

Inventors:

Timothy Regan - Issaquah WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 15/16

US Classification:

709225, 709204, 709206

Abstract:

An instant messaging system provides instant message communication between computers, including multi-user computers. The system provides multiple concurrent instant message user logins on a multi-user computer, one of the multiple concurrent instant message user logins being a registered buddy of a user of a second computer. The second computer is provided an indication that the registered buddy is one of multiple concurrent instant message user logins on a multi-user computer. The user of the second computer can send a message appropriate to be viewed on the multi-user computer. A video display may be rendered concurrently with the multiple concurrent instant message user logins. Instant messages are rendered over a portion of the video display. As a result, the instant messaging can operate smoothly with multi-user computers, protecting the privacy of instant messaging while minimizing the disruptiveness of instant messaging to accommodate shared use of a multi-user computer.

US Patent:

20030234812, Dec 25, 2003

Filed:

Jun 24, 2002

Appl. No.:

10/178121

Inventors:

Steven Drucker - Bellevue WA, US
Timothy Regan - Sammamish WA, US
Markus Lofstrom - Seattle WA, US
Asta Glatzer - Redmond WA, US
Curtis Wong - Bellevue WA, US

International Classification:

G09G005/00

US Classification:

345/751000

Abstract:

The present invention provides a system and method for collaborative decision-making. The system includes a user model component and a user feedback component. The user feedback component presents information associated with media content to users and receives feedback related to the information from the users. The user model component models the feedback received from the users and modifies the information associated with media content based, at least in part, upon the model. The user model component can, for example, utilize metadata associated with media content in order to model user behavior and/generate recommendations. The user model component can employ artificial intelligence technique(s) such as Bayesian reasoning to model user behavior and/or generate recommendations.