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. 18, 2019
Filed:
Jan. 28, 2008
Herbert Dennis Hunt, San Francisco, CA (US);
John Randall West, Sunnyvale, CA (US);
Marshall Ashby Gibbs, Jr., Clarendon Hills, IL (US);
Bradley Michael Griglione, Lake Zurich, IL (US);
Gregory David Neil Hudson, Riverside, IL (US);
Andrea Basilico, Manera di Lomazzo, IT;
Arvid C. Johnson, Frankfort, IL (US);
Cheryl G. Bergeon, Arlington Heights, IL (US);
Craig Joseph Chapa, Lake Barrington, IL (US);
Alberto Agostinelli, Trezzo sull'Adda, IT;
Jay Alan Yusko, Lombard, IL (US);
Trevor Mason, Bolingbrook, IL (US);
Herbert Dennis Hunt, San Francisco, CA (US);
John Randall West, Sunnyvale, CA (US);
Marshall Ashby Gibbs, Jr., Clarendon Hills, IL (US);
Bradley Michael Griglione, Lake Zurich, IL (US);
Gregory David Neil Hudson, Riverside, IL (US);
Andrea Basilico, Manera di Lomazzo, IT;
Arvid C. Johnson, Frankfort, IL (US);
Cheryl G. Bergeon, Arlington Heights, IL (US);
Craig Joseph Chapa, Lake Barrington, IL (US);
Alberto Agostinelli, Trezzo sull'Adda, IT;
Jay Alan Yusko, Lombard, IL (US);
Trevor Mason, Bolingbrook, IL (US);
Information Resources, Inc., Chicago, IL (US);
Abstract
In embodiments of the present invention, a method is described for reducing bias by data fusion of a household panel data and a loyalty card data. In embodiments, a method is provided for receiving a consumer panel dataset in a data fusion facility, receiving a consumer point-of-sale dataset in a data fusion facility, receiving a dimension dataset in a data fusion facility, fusing the datasets received in the data fusion facility into a new panel dataset based at least in part on an encryption key, estimating a consumer behavior using a first model based on the consumer panel dataset, estimating a consumer behavior using a second model based only on those consumers present in both the consumer panel dataset and the consumer point-of-sale dataset, and refining the first model based at least on the results of the second model.