Abstract: In one aspect, a computer system for evaluating the accuracy of an identity mapping method is disclosed. The system can comprise a system memory, one or more processors, and/or a computer readable medium containing compute-executable instructions representing a probability accuracy module. The probability accuracy module can be configured to query an identity map database for an identity map created using the identity mapping method, compare the identity map with additional social media data, calculate a correlation based on similarities between the social media data and the additional social media data, and/or verify the identity map based on the correlation. The identity map can be based on commerce data from a retailer and/or social media data from a first social media site.

Abstract: The present disclosure extends to methods, systems, and computer program products for identity mapping between commerce customers and social media users. Aspects of the invention use inferred attributes and activity correlations from both commerce data and social media data to map identities. In one aspect, activity correlations are calculated between a commerce customer account and each of the one or more candidate social media user accounts. For each of the one or more candidate social media user accounts, a probability that the commerce customer account and the social media user account map to the same identity is calculated. In another aspect, the accuracy of a mapping between a commerce customer account and a social media user is evaluated using additional social media data.

Abstract: In one aspect, a computer system for evaluating the accuracy of an identity mapping method is disclosed. The system can comprise a system memory, one or more processors, and/or a computer readable medium containing compute-executable instructions representing a probability accuracy module. The probability accuracy module can be configured to query an identity map database for an identity map created using the identity mapping method, compare the identity map with additional social media data, calculate a correlation based on similarities between the social media data and the additional social media data, and/or verify the identity map based on the correlation. The identity map can be based on commerce data from a retailer and/or social media data from a first social media site.

Abstract: The present disclosure extends to methods, systems, and computer program products for identity mapping between commerce customers and social media users. Aspects of the invention use inferred attributes and activity correlations from both commerce data and social media data to map identities. In one aspect, activity correlations are calculated between a commerce customer account and each of the one or more candidate social media user accounts. For each of the one or more candidate social media user accounts, a probability that the commerce customer account and the social media user account map to the same identity is calculated. In another aspect, the accuracy of a mapping between a commerce customer account and a social media user is evaluated using additional social media data.

Abstract: Techniques for allowing a vendor to provide item information for an item to be sold through an online or a brick and mortar store are disclosed. The techniques include receiving first item information from a vendor relating to an item which is to be included in an electronic item catalog for sale through the store. The techniques also include providing a customized spreadsheet which is customized for the item according to the first item information to the vendor via spreadsheet software and receiving second item information into the customized spreadsheet from the vendor. The techniques include validating the second item information and publishing the second item information to an item catalog server for inclusion in the electronic item catalog.