Stephen Joseph Kurtzman, Age 68Henderson, NV

Stephen Kurtzman Phones & Addresses

Henderson, NV

Milpitas, CA

4252 Merlot Ct, San Jose, CA 95135

Cupertino, CA

Cypress, CA

Los Gatos, CA

Sunnyvale, CA

Campbell, CA

Orange, CA

Santa Clara, CA

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Mentions for Stephen Joseph Kurtzman

Stephen Kurtzman resumes & CV records

Resumes

Stephen Kurtzman Photo 18

Partner At Western Radiation Oncology

Stephen Kurtzman Photo 19

Admin At Impress Communications

Stephen Kurtzman Photo 20

Vice President At Turpin & Rattan Engineering

Stephen Kurtzman Photo 21

Stephen Kurtzman

Stephen Kurtzman Photo 22

Stephen Kurtzman

Stephen Kurtzman Photo 23

Partner At Western Radiation Oncology

Publications & IP owners

Us Patents

Content Stream Analysis

US Patent:
6044376, Mar 28, 2000
Filed:
Apr 24, 1997
Appl. No.:
8/847778
Inventors:
Stephen J. Kurtzman - San Jose CA
Assignee:
IMGIS, Inc. - Cupertino CA
International Classification:
G06F 1730
US Classification:
707102
Abstract:
Content stream analysis is a user profiling technique that generates a user profile based on the content files selected and viewed by a user. This user profile can then used to help select an advertisement or other media presentation to be shown to the user.

Computer System For Efficiently Selecting And Providing Information

US Patent:
6144944, Nov 7, 2000
Filed:
Apr 22, 1998
Appl. No.:
9/064675
Inventors:
Stephen J. Kurtzman - San Jose CA
Sandeep A. Nawathe - Sunnyvale CA
Assignee:
Imgis, Inc. - Cupertino CA
International Classification:
G06F 1760
US Classification:
705 14
Abstract:
A system for selecting and providing information. The system can include an advertisement server that provides selected advertisements in response to a request from a web page server. The request includes information that will allow the advertisement server to select an appropriate advertisement. The advertisement server includes a control program for controlling the selection of the advertisements. The control program communicates with one or more affinity engines. Each affinity engine determines an affinity (degree of relevance or indicator of matching) given advertisements have for the information corresponding to the request. The engines use different request information such as demographic information, page sponsor information, keyword sponsor information, etc.

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