Patent attributes
Machine learning techniques are disclosed that allow device contact list information to be leveraged in building better models that provide more accurate assessment of user transaction risks. A computing device may receive a contact list that includes a first set of user device identifiers and generates a contact graph for that user by associating the user device identifier with the first set as first-degree contacts. The computing device may then determine that a portion of the first set of the user device identifiers are stored in a contact database (e.g. on a server) and generate a user score based on user information associated with the first set, the contact graph, and a contact graph model. The computing device may provide the user score to a transaction assessment service as in input for the transaction assessment service deciding whether particular electronic transactions are approved for processing by an electronic service provider.
