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:
Jun. 22, 2010
Filed:
May. 15, 2001
Kemal Guler, Cupertino, CA (US);
Leslie R. Fine, Menlo Park, CA (US);
Kay-yut Chen, Santa Clara, CA (US);
Alan H. Karp, Palo Alto, CA (US);
Tongwei Liu, Redwood City, CA (US);
Hsiu-khuern Tang, Menlo Park, CA (US);
Fereydoon Safai, Los Altos Hills, CA (US);
Ren Wu, San Jose, CA (US);
Alex Zhang, Sunnyvale, CA (US);
Kemal Guler, Cupertino, CA (US);
Leslie R. Fine, Menlo Park, CA (US);
Kay-Yut Chen, Santa Clara, CA (US);
Alan H. Karp, Palo Alto, CA (US);
Tongwei Liu, Redwood City, CA (US);
Hsiu-Khuern Tang, Menlo Park, CA (US);
Fereydoon Safai, Los Altos Hills, CA (US);
Ren Wu, San Jose, CA (US);
Alex Zhang, Sunnyvale, CA (US);
Hewlett-Packard Development Company, L.P., Houston, TX (US);
Abstract
A computer-implemented automated decision support system for designing an auction for a given item includes a structure extractor that estimates unknown elements of market structure of the auction based on auction characteristics data extracted from historical auctions for similar items and a bidding model matching the extracted auction characteristics data. The decision support system also includes a bidding behavior predictor that predicts bidding behaviors of bidders in the auction based on the estimated unknown elements of market structure and characteristics of the auction. In addition, the system includes an optimizer that employs an evaluation criterion to generate an evaluation of the auction based on (1) the estimated unknown elements of market structure and (2) the predicted bidding behavior of bidders. A method of providing an automated auction analysis is also described.