Context augmentation for processing data from multiple sources
AssigneeThe Beans
InventorsMatthieu Tourne, Melissa Pancoast, Danton Rodriguez
Life of this patent
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AssigneeThe Beans
InventorsMatthieu Tourne, Melissa Pancoast, Danton Rodriguez
Estimating the term…
Various embodiments are directed to the centralized processing of data from multiple sources and/or augmenting the data with contextual data from multiple sources across different accounts and systems. Embodiments disclose a context augmentation module to supplement and aggregate data from multiple sources, extrapolate contextual data, and augment the data with the contextual data on transactions conducted by a user. By gathering data from multiple sources associated with the user, contextual data may be extrapolated and can be applied to incoming transaction data about a transaction conducted by the user. The contextual data may also be applied to classify the transaction data, increasing the total number of transactions as well as contextualizing the ones with additional corresponding data. Proper contextualization and classification of the transaction data of users across multiple accounts, platforms, sources, and systems is beneficial and advantageous in resolving problems associated with data processing across multiple sources and platforms.
A computer-implemented method comprising:
A computing system comprising:
A non-transitory computer readable storage medium, having instructions stored thereon, which when executed by at least one processor, cause the processor to perform operations, comprising:
Dependencies are inferred from the claim text.