Chen Sun Yu

US Patent:

7933226, Apr 26, 2011

Filed:

Mar 24, 2004

Appl. No.:

10/809018

Inventors:

Allison G. Woodruff - Foster City CA, US
Paul M. Aoki - Foster City CA, US
Margaret H. Szymanski - Santa Clara CA, US
James D. Thornton - Redwood City CA, US
Daniel H. Wilson - Pittsburgh PA, US
Chen Yu - Rochester NY, US

Assignee:

Palo Alto Research Center Incorporated - Palo Alto CA

International Classification:

H04L 12/16

US Classification:

370260, 370261, 370263, 370264, 370329, 370341, 379 932, 379158, 37920201, 37920501, 704231, 704270, 704275

Abstract:

One embodiment of the invention is a computer controlled method for use with a communication system. The method includes a step of receiving a plurality of communications, where each one of the plurality of communications is from one of a plurality of communication sources; includes a step of mixing (that is responsive to a plurality of floor controls) the plurality of communications for a plurality of outputs associated with plurality of communication sources; and includes a step of analyzing, for a plurality of users associated with the plurality of communication sources, one or more conversational characteristics of two or more of the plurality of users. The method also includes a step of automatically adjusting the plurality of floor controls responsive to the step of analyzing. Other embodiments include systems and devices that use the method as well as program products that cause a computer to execute the method.

US Patent:

20030023481, Jan 30, 2003

Filed:

Jul 24, 2001

Appl. No.:

09/912475

Inventors:

Sarah Calvert - Seattle WA, US
Chen Yu - Mountain View CA, US

International Classification:

G06F017/60

US Classification:

705/014000

Abstract:

A method of serving Internet advertisements to users having associated cookies includes receiving a cookie from a user visiting a publisher, then retrieving a database record of past Internet activity associated with the cookie. Based on the record, is it determined whether the cookie is associated with past interactions with any of the advertisers. If the cookie has had interactions with multiple advertisers, an advertisement associated with the advertiser with the greatest level of desired attributes is served. If there are no past interactions, past web activity of the cookie is analyzed to determine the advertiser with the best prospects for success.