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:
Aug. 06, 2013
Filed:
Jul. 31, 2008
Deepak Agarwal, San Jose, CA (US);
Pradheep Elango, Mountain View, CA (US);
Raghu Ramakrishnan, Santa Clara, CA (US);
Seung-taek Park, San Jose, CA (US);
Bee-chung Chen, Mountain View, CA (US);
Deepak Agarwal, San Jose, CA (US);
Pradheep Elango, Mountain View, CA (US);
Raghu Ramakrishnan, Santa Clara, CA (US);
Seung-Taek Park, San Jose, CA (US);
Bee-Chung Chen, Mountain View, CA (US);
Yahoo! Inc., Sunnyvale, CA (US);
Abstract
Content display policies are evaluated using two kinds of methods. In the first kind of method, using information, collected in a 'controlled' manner about user characteristics and content characteristics, truth models are generated. A simulator replays users' visits to the portal web page and simulates their interactions with content items on the page based on the truth models. Various metrics are used to compare different content item-selecting algorithms. In the second kind of method, no explicit truth models are built. Events from the controlled serving scheme are replayed in part or whole; content item-selection algorithms learn using the observed user activities. Metrics that measure the overall predictive error are used to compare different content-item selection algorithms. The data collected in a controlled fashion plays a key role in both the methods.