Intuit, Inc.

Obopay, Inc.

John J Tumminaro

Calum G Murray

Jeffrey A Langston

Kevin Michael Furbish

During an analysis technique, information associated with two entities may be compared to determine a similarity metric. For example, a string distance between the information may be computed. Then, an association metric between financial-transaction histories for the two entities may be calculated. This calculation may involve comparing the nodes and branches in a commerce graph that represents financial interrelationships among a set of entities, including inputs received by the set of entities, outputs provided by the set of entities, and financial transactions among the set of entities. Next, a determination of whether the entities are likely to be a same entity may be based on the similarity metric and/or the association metric. If the entities are likely to be the same entity, the entities may be combined in a data structure. Alternatively, if the entities are not likely to be the same, they may remain separate.

Disambiguation of entities based on financial interactions

A method for transaction verification scoring includes obtaining, from a distributed computing system of distributed computing systems distributed throughout a computing network, a transaction description describing a financial transaction with a vendor, obtaining, from the distributed computing systems, transaction records of potential corroborators, and reconciling, with the financial transaction, the transaction records to obtain at least one matching transaction record of at least one corroborator, in the potential corroborators, to the financial transaction. The method further includes scoring the transaction description based on a function of each of the at least one corroborator to the financial transaction to obtain a verification score, and presenting, on a display device, a recommendation of the vendor to a consumer based on the verification score.

Transaction validation scoring

Mobile consumer communications devices can communicate their program application data over the voice channel of a wireless communications network. Structured by a protocol suitable for the voice channel, the data are encoded into tones which are transmitted over the voice channel. A server receives the tones over the voice channel, which are decoded into program application data structured by the protocol, and passed to an enterprise application. The server can respond accordingly over the voice channel.

Data communications over voice channel with mobile consumer communications devices

A member-supported payment system is available to consumers and merchants without sign-up fees, subscription fees, or transaction fees to either consumers or merchants. In a specific implementation, the member payment system is a mobile payment system where consumers may conduct transactions using a mobile device such as a mobile telephone, smartphone, personal digital assistant, or similar portable wireless handheld device. Merchants will make a refundable one-time contribution. These contributions are stored in a pooled trust account by the system and the float dividends or interest on these contributions will fund the system.

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Palo Alto, CA, United States of America

John J Tumminaro