USER PROFILING IN A TRANSACTION AND ADVERTISING ELECTRONIC COMMERCE PLATFORM
First Claim
10. An electronic commerce platform, comprising:
- a data exchange for aggregating user transaction data from online and offline transactions conducted by users where at least one data element of at least one transaction of the online and offline transactions is at least one of uncertain, incomplete or missing; and
a fuzzy profiling component communicatively coupled to the data exchange that assigns one or more confidence values to the user transaction data based on one or more degrees of certainty associated with at least one data element of the user transaction data relating to the at least one data element being at least one of uncertain, incomplete or missing,wherein the fuzzy profiling component takes the one or more confidence values into account when updating a user profile for the user based on the user transaction data.
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Accused Products
Abstract
The subject disclosure relates to electronic commerce and advertising platforms that aggregate transaction data from merchants and consumers. A set of enhanced scenarios built on the platform span both the online and offline transactional and advertising universe to the benefit of all participants of the electronic commerce and advertising platform. In non-limiting embodiments, user profiling is performed across multiple data providers that can infer additional profiling information from different transaction data sources, and can take into account a confidence associated with transaction data when updating a user profile, e.g., where data elements of given transaction data may be incomplete, missing or uncertain.
328 Citations
20 Claims
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10. An electronic commerce platform, comprising:
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a data exchange for aggregating user transaction data from online and offline transactions conducted by users where at least one data element of at least one transaction of the online and offline transactions is at least one of uncertain, incomplete or missing; and a fuzzy profiling component communicatively coupled to the data exchange that assigns one or more confidence values to the user transaction data based on one or more degrees of certainty associated with at least one data element of the user transaction data relating to the at least one data element being at least one of uncertain, incomplete or missing, wherein the fuzzy profiling component takes the one or more confidence values into account when updating a user profile for the user based on the user transaction data. - View Dependent Claims (11, 12, 13, 14, 15, 16)
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17. A method for mapping raw transactional data to unique user identities, comprising:
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receiving from a plurality of different data providers at least one raw transaction dataset representing transaction data from one or more transactions conducted by a variety of users; for each transaction represented by the transaction data, transforming the transaction by applying at least one common taxonomy to the transaction data including applying preset data mappings and conversions to the transaction data; analyzing each transaction of the transaction data including inferring additional data to be added to the transaction data associated with the transaction; adding the inferred additional data to the transaction data to form processed transaction data having at least one attribute; and mapping each transaction to a unique identifier associated with an individual user identity based on one or more of the at least one attribute of the processed transaction data. - View Dependent Claims (1, 2, 3, 4, 5, 6, 7, 8, 9, 18, 19, 20)
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18-1. The method of claim 17, further comprising:
based on user preference, disabling sharing of information represented by transaction data associated with the individual user identity in at least one pre-defined sharable data category, whereby the information is not shared with other participants of an electronic commerce platform.
Specification