Abstract: In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item.
Type:
Grant
Filed:
January 31, 2008
Date of Patent:
April 17, 2012
Assignee:
SymphonyIRI Group, Inc.
Inventors:
Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
Abstract: The present invention provides a method for updating data sources. The method may include identifying a plurality of data sources, identifying a plurality of overlapping attribute segments to use for comparing the data sources, calculating a factor as a function of each of the plurality of overlapping attribute segments, and using the factors to update a first group of values in the second data source to reduce bias. Further, at least a first data source is more accurate than a second data source.
Type:
Grant
Filed:
January 29, 2008
Date of Patent:
May 24, 2011
Assignee:
SymphonyIRI Group, Inc.
Inventors:
Herbert Dennis Hunt, John Randall West, Marshall Ashby Gibbs, Bradley Michael Griglione, Gregory David Neil Hudson, Andrea Basilico, Arvid C. Johnson, Cheryl G. Bergeon, Craig Joseph Chapa, Alberto Agostinelli, Jay Alan Yusko, Trevor Mason
Abstract: A computer system and method is disclosed that analyzes and corrects retail data. The system and method includes several client workstations and one or more servers coupled together over a network. A database stores various data used by the system. A business logic server uses competitive and complementary fusion to analyze and correct some of the data sources stored in database server. The data fusion process itself is an iterative one—utilizing both competitive and complementary fusion methods. In competitive fusion, two or more data sources that provide overlapping attributes are compared against each other. More accurate/reliable sources are used to correct less accurate/reliable sources. In complementary fusion, relationships modeled where data sources overlap are projected to areas of the data framework in which fewer sources exist—enhancing the accuracy/reliability of those fewer sources even in the absence of the other sources upon which the models were based.
Type:
Grant
Filed:
February 20, 2004
Date of Patent:
January 18, 2011
Assignee:
SymphonyIRI Group, Inc.
Inventors:
Michael W. Kruger, Cheryl G. Bergeon, Arvid C. Johnson