in a single embodiment, the information worth in the given data field of an account characterization vector is an indication of the range, frequency, amount, or proportion of financial transactions from the account that contain the service provider related to that details subject.
a way and method teams consumer accounts in the monetary administration method based upon the similarities from the financial transactions related to the accounts. The method and program groups merchants involved in the money transactions dependant on how economical transactions involving the merchants are sorted into groups of merchants.
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Therefore, computing and communication methods employing or furnishing the embodiments with the existing disclosure are reworked into additional operationally successful gadgets and techniques.
US10726501B1 - system to make use of transaction, account, and company similarity clusters derived in the historic transaction information to match new transactions to accounts - Google Patents
a minimum of 1 memory coupled into the not less than one particular processor, the not less than one memory possessing stored therein Guidance which, when executed by any list of the one or more processors, perform a process such as: receiving financial transaction knowledge connected to a different financial transaction of the present-day person of a money administration system;
the tactic features obtaining new financial transaction details linked to a different money transaction of one of many customers, determining a bunch of users that includes the person, and identifying a group of merchants that features a service provider linked to the new economical transaction. the tactic includes pinpointing a group of accounts related to the group of merchants and Along with the team of customers that includes the user. the strategy includes deciding on from the accounts from the person a applicant account that belongs to your group of accounts related to the two the group of people that includes the person as well as the team of merchants that features the merchant associated with The brand new monetary transaction, and assisting the person to kind The brand new money transaction in to the prospect account.
Hence, in one embodiment, an increased data benefit suggests a higher variety, proportion, or level of incidence of financial transactions involving the service provider and assigned to your account or team of accounts associated with the info industry. A data worth of zero can suggest that possibly no money transactions involving the merchant are already sorted to that account or group of accounts, or that a statistically insignificant range of economic transactions involving the merchant or service provider string are already sorted in to the account or group of accounts akin to the information subject.
The process incorporates examining user grouping data that defines teams of consumers on the economical management procedure based upon how fiscal transactions from the people are actually sorted into accounts of your consumers. the procedure consists of analyzing transaction grouping data that defines groups of merchants linked to economic transactions in the buyers determined by teams of accounts that have received fiscal transactions connected to the retailers. the procedure involves figuring out a prospect account of the present consumer dependant on the analysis of your account grouping facts, the person grouping info, along with the transaction grouping data. the procedure involves aiding The existing user to type The brand new financial transaction in to the prospect account.
eleven. The method of assert one, even further comprising assigning, for each team of accounts associated with the team of consumers that includes the user, weights to forms of economic transaction qualities depending on how strongly the kinds of economic transaction traits predict inclusion in the group of accounts.
Alternatively, the grouping analytics brand rukon module 124 can assist the user to type the fiscal transaction into an account from the person by routinely sorting the money transaction into one of the accounts of the consumer. The grouping analytics module 124 can generate concept details together with a concept for the person concerning the sorting of the economic transaction. From block 210 the method proceeds to dam 212.
28. The process of claim eighteen, whereby deciding on the applicant account consists of pinpointing accounts of the present consumer which might be included in the teams of accounts that happen to be affiliated with equally the team of retailers that features the service provider linked to The brand new fiscal transaction along with the team of end users that features The existing consumer.
In a variety of embodiments, any, or all, in the belongings creating up a offered output ecosystem mentioned herein, and/or as known from the art at some time of filing, and/or as created following the time of submitting, is often executed as one or more Digital property.
grouping the end users, by making use of one or more clustering algorithms towards the consumer qualities vector facts to determine similarities from the consumer attributes vectors, whereby similarities within the person qualities vectors are established based upon analysis of the information values in the info fields of each and every with the person properties vectors;