Intuit, Inc.

Sun Microsystems, Inc.

Solopoint, Inc.

Jeffrey A Langston

Calum G Murray

John J Tumminaro

Kevin Michael Furbish

Martin S McKendry

Karen L Styres

Andrew D Holmes

Scott A Van Gundy

Lee Horigan

David McMurtry

Sylvain Tremblay

Randall F Reynolds

Raymond P Trounday

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

A system, method, computer program product, and user interface for tracking multiple exchange rates for transactions in a financial software application. Historical exchange rates are applied to transactions involving currency conversions, and accurate reports are generated by retrieving appropriate historical rates according to the dates of the transactions. Exchange rates are stored by associating them with individual transactions or with date ranges. Generated reports accurately reflect historical exchange rate information where applicable.

Multiple exchange rate tracking in a financial transaction manager

With a personal call manager, when a caller calls a primary telephone number for the owner of the personal call manager, the personal call manager selectively routes the incoming call to any combination of local extensions on the owner's premises, and to remote extensions such as a telephone instrument on another premises, a pager, a cellular telephone, a central office voice mail box, and a cellular telephone voice mail box. A call handler stored in a memory of the personal call manager is used to specify how an incoming call is handled. The personal call manager retains control over an incoming call throughout the duration of the call. Consequently, the owner can route the incoming call to multiple locations, or transfer the call to a telephone answering service at any time after taking the incoming call as defined by the active call handler. Moreover, a call can be handled based on the type of call, e.g., voice, fax, or modem. The call handlers include a direct call handler, a monitor call handler and a menu call handler.

Method for handling incoming calls on a pots telephone line to a user's

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Palo Alto, CA, United States of America

Jeffrey A Langston