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PARTICIPANT IDENTIFICATION FOR BILL SPLITTING

Abstract:

Disclosed herein are system, method, and computer program product embodiments for providing recommendations for splitting bills. The approaches disclosed include the ability to obtain information about a bill to be split (such as a photo of the bill), and then use several machine learning models to determine the `who,` `what,` and `where` of the underlying transaction. In particular, machine learning models described herein are used to perform facial recognition of a `selfie` taken when a transaction was made against social media accounts to determine participants of the transaction. The machine learning models may also identify expected pricing from data about a merchant associated with the transaction, and expected amounts for each participant based on the expected pricing.