SYSTEMS AND METHODS FOR DETECTING OUT-OF-PATTERN TRANSACTIONS

    公开(公告)号:US20210142330A1

    公开(公告)日:2021-05-13

    申请号:US17151523

    申请日:2021-01-18

    Abstract: An inverse recommender system for detecting out-of-pattern payment transactions includes a memory device and a processor programmed to receive transaction data. The transaction data corresponds to historical payment transactions between account holders and merchants. The processor is programmed to generate a merchant correspondence matrix including the merchants and counters indicating the number of historical payment transactions between merchant pairs of the merchants and the account holders. The processor is programmed to store the merchant correspondence matrix in a memory device linking the merchant pairs to each account holder. The processor receives additional transaction data associated with a new payment transaction between an account holder and a merchant, and to generate an inverse recommender score for the new payment transaction based on the account holder's historical payment transaction data. The account holder's historical payment transaction data includes historical payment transaction data associated with the merchants visited by the account holder.

    SYSTEMS AND METHODS FOR DETERMINING RESTAURANT CAPACITY LEVEL

    公开(公告)号:US20170351981A1

    公开(公告)日:2017-12-07

    申请号:US15172046

    申请日:2016-06-02

    CPC classification number: G06Q10/0631 G06Q30/0201 G06Q50/12

    Abstract: A capacity analysis computing device for determining a restaurant capacity level is provided. The capacity analysis computing device is configured to store historical transaction data for a restaurant for a period of time, and analyze the historical transaction data to identify a maximum restaurant capacity for the restaurant over the period of time. The capacity analysis computing device is also configured to receive, from a user computing, a selected time interval for which a current capacity level is to be determined. The capacity analysis computing device is further configured to identify a similar historical time interval to the selected time interval, and determine a historical capacity level for the restaurant during the similar historical time interval. The capacity analysis computing device is further configured to assign the historical capacity level as the current capacity level for the restaurant, and display the current capacity level on the user computing device.

    SYSTEMS AND METHODS FOR DETECTING OUT-OF-PATTERN TRANSACTIONS

    公开(公告)号:US20240201797A9

    公开(公告)日:2024-06-20

    申请号:US18449489

    申请日:2023-08-14

    CPC classification number: G06Q20/4016 G06Q20/10

    Abstract: An inverse recommender system for detecting out-of-pattern payment transactions includes a memory device and a processor programmed to receive transaction data. The transaction data corresponds to historical payment transactions between account holders and merchants. The processor is programmed to generate a merchant correspondence matrix including the merchants and counters indicating the number of historical payment transactions between merchant pairs of the merchants and the account holders. The processor is programmed to store the merchant correspondence matrix in a memory device linking the merchant pairs to each account holder. The processor receives additional transaction data associated with a new payment transaction between an account holder and a merchant, and to generate an inverse recommender score for the new payment transaction based on the account holder's historical payment transaction data. The account holder's historical payment transaction data includes historical payment transaction data associated with the merchants visited by the account holder.

    SYSTEMS AND METHODS FOR DETECTING
OUT-OF-PATTERN TRANSACTIONS

    公开(公告)号:US20230385841A1

    公开(公告)日:2023-11-30

    申请号:US18449489

    申请日:2023-08-14

    CPC classification number: G06Q20/4016 G06Q20/10

    Abstract: An inverse recommender system for detecting out-of-pattern payment transactions includes a memory device and a processor programmed to receive transaction data. The transaction data corresponds to historical payment transactions between account holders and merchants. The processor is programmed to generate a merchant correspondence matrix including the merchants and counters indicating the number of historical payment transactions between merchant pairs of the merchants and the account holders. The processor is programmed to store the merchant correspondence matrix in a memory device linking the merchant pairs to each account holder. The processor receives additional transaction data associated with a new payment transaction between an account holder and a merchant, and to generate an inverse recommender score for the new payment transaction based on the account holder's historical payment transaction data. The account holder's historical payment transaction data includes historical payment transaction data associated with the merchants visited by the account holder.

    Systems and methods for determining restaurant capacity level

    公开(公告)号:US10915838B2

    公开(公告)日:2021-02-09

    申请号:US15172046

    申请日:2016-06-02

    Abstract: A capacity analysis computing device for determining a restaurant capacity level is provided. The capacity analysis computing device is configured to store historical transaction data for a restaurant for a period of time, and analyze the historical transaction data to identify a maximum restaurant capacity for the restaurant over the period of time. The capacity analysis computing device is also configured to receive, from a user computing, a selected time interval for which a current capacity level is to be determined. The capacity analysis computing device is further configured to identify a similar historical time interval to the selected time interval, and determine a historical capacity level for the restaurant during the similar historical time interval. The capacity analysis computing device is further configured to assign the historical capacity level as the current capacity level for the restaurant, and display the current capacity level on the user computing device.

    Systems and methods for detecting out-of-pattern transactions

    公开(公告)号:US10896424B2

    公开(公告)日:2021-01-19

    申请号:US15794768

    申请日:2017-10-26

    Abstract: An inverse recommender system for detecting out-of-pattern payment transactions includes a memory device and a processor programmed to receive transaction data. The transaction data corresponds to historical payment transactions between account holders and merchants. The processor is programmed to generate a merchant correspondence matrix including the merchants and counters indicating the number of historical payment transactions between merchant pairs of the merchants and the account holders. The processor is programmed to store the merchant correspondence matrix in a memory device linking the merchant pairs to each account holder. The processor receives additional transaction data associated with a new payment transaction between an account holder and a merchant, and to generate an inverse recommender score for the new payment transaction based on the account holder's historical payment transaction data. The account holder's historical payment transaction data includes historical payment transaction data associated with the merchants visited by the account holder.

    Computerized-methods and systems for identifying duplicate entries in a database of merchant data

    公开(公告)号:US10657606B2

    公开(公告)日:2020-05-19

    申请号:US16427737

    申请日:2019-05-31

    Abstract: Systems and methods are provided for verifying and/or confirming merchant data for multiple different transactions. One method generally includes accessing merchant data for a merchant where the merchant data includes a master merchant identifier for the merchant, and querying, by a computing device, multiple users as to which of a list of merchant data entries, for multiple different transactions and including different merchant identifiers, corresponds to the master merchant identifier for the merchant. The users are associated with a location within a predefined distance of the confirmed merchant and/or have performed one or more purchase transactions at the merchant. The method also generally includes receiving, at the computing device, a response from at least one of the users, in which the at least one of the users selects a data entry from the list, and determining whether to proceed in querying additional users.

    SYSTEMS AND METHODS FOR OPTIMIZING TRAVEL BOOKINGS

    公开(公告)号:US20180025292A1

    公开(公告)日:2018-01-25

    申请号:US15214128

    申请日:2016-07-19

    CPC classification number: G06Q10/02 G06Q10/06311 G06Q30/0601 G06Q50/12

    Abstract: Systems and methods for optimizing travel bookings. A travel analyzing computing device is configured to retrieve historic transaction data including addendum data from travel booking transactions of cardholders. The travel analyzing computing device then extracts booking information comprising booking dates, travel dates, and prices from the retrieved historic transaction data. The travel analyzing computing device is further configured to receive booking inquiries comprising a travel date. Based on the travel date indicated in the booking inquiry, the travel analyzing computing device generates booking data including an optimal booking date. The travel analyzing computing device may then transmit the booking data, including the optimal booking date, to the user computing device.

    SYSTEMS AND METHODS FOR GENERATING RECOMMENDATIONS USING A CORPUS OF DATA

    公开(公告)号:US20170169500A1

    公开(公告)日:2017-06-15

    申请号:US15374751

    申请日:2016-12-09

    Abstract: A method and system for recommending a merchant are provided. The method includes receiving financial transaction data documenting financial transactions between a plurality of account holders and a plurality of merchants and generating a merchant correspondence matrix that includes the plurality of merchants and a plurality of indicators of interactions associated with pairs of the plurality of merchants. The plurality of indicators of interactions tallying financial transactions conducted by the plurality of account holders at both of the merchants in a pair of the plurality of merchants. The method further includes receiving a query for a recommendation of a merchant from an account holder and generating a ranked list of merchants based on a recommender algorithm. The recommender algorithm inferring user preferences from attributes of the plurality of merchants that were visited by the cardholder.

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