The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 03, 2006
Filed:
Sep. 13, 2002
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 T. Holmes, Pasadena, CA (US);
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 T. Holmes, Pasadena, CA (US);
Overture Services Inc., Pasadena, CA (US);
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.