Bias reduction using data fusion of household panel data and transaction data

US10325272B2 · kind B2 · utility

Assignee

• Information Resources, Inc. · US

Inventors

• Herbert Dennis Hunt · Bedford, US
• John Randall West · Sunnyvale, US
• Marshall Ashby Gibbs · Clarendon Hills, US
• Bradley Michael Griglione · Lake Zurich, US
• Gregory David Neil Hudson · Riverside, US
• Andrea Basilico · Saronno, IT
• Arvid C. Johnson · Frankfort, US
• Cheryl G. Bergeon · Arlington Heights, US
• Craig Joseph Chapa · Lake Barrington, US
• Alberto Agostinelli · Trezzo sull'Adda, IT
• Jay Alan Yusko · Lombard, US
• Trevor Mason · Bolingbrook, US

Key dates

• Filing date: Jan 28, 2008
• Grant date: Jun 18, 2019
• Expiry date: Dec 11, 2029

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0201
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

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.