Peter Alan Goodwine

US Patent:

20040054661, Mar 18, 2004

Filed:

Sep 13, 2002

Appl. No.:

10/244051

Inventors:

Dominic Cheung - South Pasadena CA, US
Dennis Wu - Foster City CA, US
Barry Laffoon - Glendale CA, US
Alan Lang - Redondo Beach CA, US
Scott Snell - Hollywood CA, US
Jie Zhang - Saugus CA, US
Pierre Wang - Beverly Hills CA, US
Jennifer Wu - Los Angeles CA, US
Peter Goodwine - Altadena CA, US
Wai-Yin Wong - La Crescenta CA, US
Carey Sublette - Rancho Cucamonga CA, US
Stephan Cunningham - Burbank CA, US
Bruce Holmes - Pasadena CA, US

International Classification:

G06F007/00

US Classification:

707/003000

Abstract:

A method and system for improving the efficiency of a database processing system for evaluating candidate data items representing search listings that are submitted for inclusion into a search engine database. Candidate search listings are automatically assessed for quality, style, and relevance to evaluate risk of unfavorable reception by a user and of potential exposure volume. Search listings which are higher-risk or higher-volume are routed through manual editorial review while lower-risk, lower-volume search listings are routed for immediate inclusion in the search database without manual editorial evaluation. Accordingly, human editorial efforts can be devoted to manual review of high-risk or high-volume search listings while efficiency is simultaneously improved in the processing system as a whole.

US Patent:

20060235824, Oct 19, 2006

Filed:

Oct 11, 2005

Appl. No.:

11/248780

Inventors:

Dominic Cheung - South Pasadena CA, US
Dennis Wu - Foster City CA, US
Barry Laffoon - Glendale CA, US
Alan Lang - Redondo Beach CA, US
Scott Snell - Hollywood CA, US
Jie Zhang - Saugus CA, US
Pierre Wang - Beverly Hills CA, US
Jennifer Wu - Los Angeles CA, US
Peter Goodwine - Altadena CA, US
Wai-Yin Wong - La Crescenta CA, US
Carey Sublette - Rancho Cucamonga CA, US
Stephan Cunningham - Burbank CA, US
Bruce Holmes - Pasadena CA, US

International Classification:

G06F 17/30

US Classification:

707001000

Abstract:

A method and system for improving the efficiency of a database processing system for evaluating candidate data items representing search listings that are submitted for inclusion into a search engine database. Candidate search listings are automatically assessed for quality, style, and relevance to evaluate risk of unfavorable reception by a user and of potential exposure volume. Search listings which are higher-risk or higher-volume are routed through manual editorial review while lower-risk, lower-volume search listings are routed for immediate inclusion in the search database without manual editorial evaluation. Accordingly, human editorial efforts can be devoted to manual review of high-risk or high-volume search listings while efficiency is simultaneously improved in the processing system as a whole.