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    • 1. 发明申请
    • METHOD AND APPARATUS FOR DETERMINING A STANDARD NAME FOR A PAYEE
    • 用于确定PAYEE标准名称的方法和装置
    • US20090228356A1
    • 2009-09-10
    • US12044470
    • 2008-03-07
    • George A. HansenMarko RukonicBenjamin R. WeissJim Del Favero
    • George A. HansenMarko RukonicBenjamin R. WeissJim Del Favero
    • G06Q30/00G06Q99/00
    • G06Q40/02G06Q20/102
    • A system that determines a standard payee name for a payee is presented. During operation, the system receives a non-standard payee name, wherein the non-standard payee name can be a user-defined payee name, which is defined by a user, or a normalized payee name, which is defined by a financial institution. Next, the system determines whether the non-standard payee name is associated with the standard payee name by using the non-standard payee name to search through data structures containing associations between one or more of the following: user-defined payee names and normalized payee names; user-defined payee names and standard payee names; and normalized payee names and standard payee names. If the non-standard payee name is associated with a standard payee name, the system can perform specified actions.
    • 给出了确定收款人的标准收款人姓名的系统。 在操作期间,系统接收非标准收款人姓名,其中非标准收款人姓名可以是由用户定义的用户定义的收款人姓名,或由金融机构定义的标准化收款人姓名。 接下来,系统通过使用非标准收款人名称来确定非标准收款人姓名是否与标准收款人姓名相关联,以搜索包含以下一个或多个之间的关联的数据结构:用户定义的收款人姓名和标准化收款人 名字 用户定义的收款人姓名和标准收款人姓名; 以及标准化收款人姓名和标准收款人姓名。 如果非标准收款人姓名与标准收款人姓名相关联,则系统可以执行指定的行为。
    • 2. 发明授权
    • Method and apparatus for determining a standard name for a payee
    • 用于确定收款人的标准名称的方法和装置
    • US08401942B2
    • 2013-03-19
    • US12044470
    • 2008-03-07
    • George A. HansenMarko RukonicBenjamin R. WeissJim Del Favero
    • George A. HansenMarko RukonicBenjamin R. WeissJim Del Favero
    • G06Q40/00
    • G06Q40/02G06Q20/102
    • A system that determines a standard payee name for a payee is presented. During operation, the system receives a non-standard payee name, wherein the non-standard payee name can be a user-defined payee name, which is defined by a user, or a normalized payee name, which is defined by a financial institution. Next, the system determines whether the non-standard payee name is associated with the standard payee name by using the non-standard payee name to search through data structures containing associations between one or more of the following: user-defined payee names and normalized payee names; user-defined payee names and standard payee names; and normalized payee names and standard payee names. If the non-standard payee name is associated with a standard payee name, the system can perform specified actions.
    • 给出了确定收款人的标准收款人姓名的系统。 在操作期间,系统接收非标准收款人姓名,其中非标准收款人姓名可以是由用户定义的用户定义的收款人姓名,或由金融机构定义的标准化收款人姓名。 接下来,系统通过使用非标准收款人名称来确定非标准收款人姓名是否与标准收款人姓名相关联,以搜索包含以下一个或多个之间的关联的数据结构:用户定义的收款人姓名和标准化收款人 名字 用户定义的收款人姓名和标准收款人姓名; 以及标准化收款人姓名和标准收款人姓名。 如果非标准收款人姓名与标准收款人姓名相关联,则系统可以执行指定的行为。
    • 4. 发明授权
    • System and method for automated transaction splitting
    • 自动交易分割的系统和方法
    • US07840457B2
    • 2010-11-23
    • US12053798
    • 2008-03-24
    • Marko RukonicBenjamin R. Weiss
    • Marko RukonicBenjamin R. Weiss
    • G07B17/00G07F19/00
    • G06Q40/00G06Q20/10G06Q40/06G06Q40/12Y10S707/99931
    • A system and method are provided for automated transaction splitting. A central repository gathers details of multi-category transactions between a first payee (e.g., merchant, investment firm) and one or more users. Each category's proportionate share of the total of the transactions is calculated and used to configure an average or model transaction. When a new transaction is received, it is automatically split among the categories based on the model transaction. Multiple types or tiers of model transactions may be applied. For example, a user-specific model transaction may reflect one specific user's history of transactions with the payee. A community model transaction may reflect multiple users' transactions. Similarly, one type of model transaction may reflect transactions with a single payee, while another type may reflect transactions with related payees (e.g., payees having similar businesses).
    • 提供了一种用于自动交易分割的系统和方法。 中央存储库收集第一收款人(例如,商家,投资公司)和一个或多个用户之间的多类别交易的细节。 计算每个类别在交易总额中的比例份额,并用于配置平均或模型交易。 收到新交易时,将根据模型交易自动分类。 可以应用多种类型或层次的模型交易。 例如,用户特定的模型交易可以反映一个特定用户与收款人的交易历史。 社区模型交易可能反映了多个用户的交易。 类似地,一种类型的模型交易可以反映与单个收款人的交易,而另一类型可以反映与相关收款人(例如具有类似业务的收款人)的交易。
    • 5. 发明申请
    • SYSTEM AND METHOD FOR AUTOMATED TRANSACTION SPLITTING
    • 自动交易分割系统与方法
    • US20090240605A1
    • 2009-09-24
    • US12053798
    • 2008-03-24
    • Marko RukonicBenjamin R. Weiss
    • Marko RukonicBenjamin R. Weiss
    • G06Q40/00
    • G06Q40/00G06Q20/10G06Q40/06G06Q40/12Y10S707/99931
    • A system and method are provided for automated transaction splitting. A central repository gathers details of multi-category transactions between a first payee (e.g., merchant, investment firm) and one or more users. Each category's proportionate share of the total of the transactions is calculated and used to configure an average or model transaction. When a new transaction is received, it is automatically split among the categories based on the model transaction. Multiple types or tiers of model transactions may be applied. For example, a user-specific model transaction may reflect one specific user's history of transactions with the payee. A community model transaction may reflect multiple users' transactions. Similarly, one type of model transaction may reflect transactions with a single payee, while another type may reflect transactions with related payees (e.g., payees having similar businesses).
    • 提供了一种用于自动交易分割的系统和方法。 中央存储库收集第一收款人(例如,商家,投资公司)和一个或多个用户之间的多类别交易的细节。 计算每个类别在交易总额中的比例份额,并用于配置平均或模型交易。 收到新交易时,将根据模型交易自动分类。 可以应用多种类型或层次的模型交易。 例如,用户特定的模型交易可以反映一个特定用户与收款人的交易历史。 社区模型交易可能反映了多个用户的交易。 类似地,一种类型的模型交易可以反映与单个收款人的交易,而另一类型可以反映与相关收款人(例如具有类似业务的收款人)的交易。
    • 7. 发明授权
    • Optimizing recategorization of financial transactions using collaborative filtering
    • 使用协同过滤优化金融交易重新分类
    • US08538967B1
    • 2013-09-17
    • US13005462
    • 2011-01-12
    • David Junzi WuLevon BudagyanMarko Rukonic
    • David Junzi WuLevon BudagyanMarko Rukonic
    • G06F17/30
    • G06Q40/02
    • A method to optimize recategorization of financial transactions using collaborative filtering involves obtaining a set of financial transactions of a set of users with a merchant. The method also involves determining, using a processor, a first portion of the set of financial transactions assigned to each recategorization value of a set of recategorization values; determining, using the processor, a second portion of the set of financial transactions where the each recategorization value is different from an initial category; generating, using the processor, a recategorization index for each recategorization value using the first portion of each recategorization value and the second portion; and determining, using the processor, an alternative categorization candidate based on the recategorization index of the each recategorization value.
    • 使用协同过滤优化重新分类金融交易的方法涉及通过商家获得一组用户的一组金融交易。 该方法还涉及使用处理器来确定分配给一组再分类值的每个再分类值的金融交易集合的第一部分; 使用所述处理器确定所述一组金融交易的第二部分,其中每个再分类值与初始类别不同; 使用所述处理器,使用每个重新分类值和所述第二部分的所述第一部分,为每个重新分类值生成重新分类索引; 以及基于每个重新分类值的重新分类指数来确定使用所述处理器的替代分类候选。
    • 9. 发明授权
    • Method and system for user contributed aggregated fraud identification
    • 用户提供的方法和系统进行聚合欺诈识别
    • US08799122B1
    • 2014-08-05
    • US12060092
    • 2008-03-31
    • James R. Del FaveroMarko Rukonic
    • James R. Del FaveroMarko Rukonic
    • G06Q40/00
    • G06Q40/02G06Q20/4016
    • A method for identifying an origin of fraudulent activity including receiving a first affirmative fraud flag from a first user for a financial transaction associated with a first user account and obtaining financial transaction information for the first user account, which includes a first financial transaction entry listing a payee and a first time. The method further includes receiving a second affirmative fraudulent flag from a second user corresponding to a financial transaction and a second user account and obtaining financial transaction information for the second user account, which includes a second financial transaction entry listing the payee and a second time. The method further includes determining an intersection between the first and the second financial transaction entries, identifying a potential origin of fraud from the intersection, and alerting the first and the second user of the potential origin of fraud.
    • 一种用于识别欺诈活动的来源的方法,包括从第一用户接收与第一用户帐户相关联的金融交易的第一肯定欺诈标志并获得第一用户账户的金融交易信息,该金融交易信息包括列出第一金融交易条目 收款人和第一次。 该方法还包括从第二用户接收对应于金融交易和第二用户账户的第二肯定欺诈标志,并且获得第二用户账户的金融交易信息,其包括列出收款人的第二金融交易条目和第二次。 该方法还包括确定第一和第二金融交易条目之间的交叉点,从交点识别潜在的欺诈来源,以及向第一和第二用户发出潜在的欺诈原因。
    • 10. 发明授权
    • Method and system for detecting recurring income from financial transaction data
    • 从金融交易数据中检测经常性收入的方法和系统
    • US08380590B1
    • 2013-02-19
    • US12414847
    • 2009-03-31
    • Marko RukonicJames Robert Del FaveroNicholas Augustine Mooney
    • Marko RukonicJames Robert Del FaveroNicholas Augustine Mooney
    • G06Q40/00G07F19/00G07B17/00
    • G06Q40/02
    • A method and system for detecting and categorizing recurring income whereby financial transaction data associated with a given user is obtained from one or more sources. One or more income identification parameters are defined. The given user identifies one or more deposit transactions included in the financial transaction data as an income transaction. The one or more income identification parameter values associated with one or more unidentified deposit transactions are then compared with the income identification parameter values associated with the user identified income transactions. Any of one or more unidentified deposit transactions having income identification parameter values the same as, or sufficiently similar to, the income identification parameter values associated with the user identified income transactions are then categorized as identified income transactions of the same type, and/or as being from the same given payor/income source, as the user identified income transactions.
    • 一种用于检测和分类经常性收入的方法和系统,从而从一个或多个来源获得与给定用户相关联的金融交易数据。 定义一个或多个收入识别参数。 给定用户将包括在金融交易数据中的一个或多个存款交易识别为收入交易。 然后将与一个或多个未识别的存款交易相关联的一个或多个收入识别参数值与与用户识别的收入交易相关联的收入识别参数值进行比较。 具有与用户识别的收入交易相关联的收入识别参数值相同或足够相似的收入识别参数值的任何一个或多个未识别的存款交易然后被分类为相同类型的已识别收入交易,和/或 来自同一给定的付款人/收入来源,因为用户确定了收入交易。