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1. 发明授权

US12147991B2 Machine learning-driven servicing interface 有权
公开(公告)号：US12147991B2
公开(公告)日：2024-11-19
申请号：US18212650
申请日：2023-06-21
申请人： Capital One Services, LLC
发明人： Koon Heng Ivan Teo , Volodymyr Orlov , Yazdan Shirvany , Fernando San Martin Jorquera , Francisco Perez Leon , Yoonseong Kim , Mohammad Shami
IPC分类号： G06Q30/00 , G06N20/00 , G06Q30/016 , G06Q30/02 , H04L67/306 , H04M3/51
CPC分类号： G06Q30/016 , G06N20/00 , G06Q30/0281 , H04L67/306 , H04M3/5183
摘要： Systems and methods for customizing business applications based upon user intent scores is described. A machine learning model trained to specifically predict when a user is likely to engage in a specific activity while interacting with the business application may be trained using data regarding prior interactions between a business application and a plurality of users. The machine learning model may thereafter provide a probability score for a particular user, the probability score indicating the likelihood that the user will engage in the specific activity for which the model has been trained to predict. The probability may be combined with a business value factor to produce a user intent score indicating the relative value of the user engaging in the specific activity. A business application comprising an app executing on a client device, a webpage, an automated menu at a call-in service center, or human operator interacting with the user at a call in the service center may be customized for the particular user based upon the user intent scores.

2. 发明授权

US11715111B2 Machine learning-driven servicing interface 有权
公开(公告)号：US11715111B2
公开(公告)日：2023-08-01
申请号：US16141521
申请日：2018-09-25
申请人： Capital One Services, LLC
发明人： Koon Heng Ivan Teo , Volodymyr Orlov , Yazdan Shirvany , Fernando San Martin Jorquera , Francisco Perez Leon , Yoonseong Kim , Mohammad Shami
IPC分类号： G06Q30/00 , H04L67/306 , H04M3/51 , G06Q30/02 , G06N20/00 , G06Q30/016
CPC分类号： G06Q30/016 , G06N20/00 , G06Q30/0281 , H04L67/306 , H04M3/5183
摘要： Systems and methods for customizing business applications based upon user intent scores is described. A machine learning model trained to specifically predict when a user is likely to engage in a specific activity while interacting with the business application may be trained using data regarding prior interactions between a business application and a plurality of users. The machine learning model may thereafter provide a probability score for a particular user, the probability score indicating the likelihood that the user will engage in the specific activity for which the model has been trained to predict. The probability may be combined with a business value factor to produce a user intent score indicating the relative value of the user engaging in the specific activity. A business application comprising an app executing on a client device, a webpage, an automated menu at a call-in service center, or human operator interacting with the user at a call in the service center may be customized for the particular user based upon the user intent scores.

3. 发明授权

US11531993B2 Machine learning-driven servicing interface 有权
公开(公告)号：US11531993B2
公开(公告)日：2022-12-20
申请号：US16253065
申请日：2019-01-21
申请人： Capital One Services, LLC
发明人： Koon Heng Ivan Teo , Volodymyr Orlov , Yazdan Shirvany , Fernando San Martin Jorquera , Francisco Perez Leon , Yoonseong Kim , Mohammad Shami
IPC分类号： G06Q30/00 , H04L67/306 , H04M3/51 , G06Q30/02 , G06N20/00
摘要： Systems and methods for customizing business applications based upon user intent scores is described. A machine learning model trained to specifically predict when a user is likely to engage in a specific activity while interacting with the business application may be trained using data regarding prior interactions between a business application and a plurality of users. The machine learning model may thereafter provide a probability score for a particular user, the probability score indicating the likelihood that the user will engage in the specific activity for which the model has been trained to predict. The probability may be combined with a business value factor to produce a user intent score indicating the relative value of the user engaging in the specific activity. A business application comprising an app executing on a client device, a webpage, an automated menu at a call-in service center, or human operator interacting with the user at a call in the service center may be customized for the particular user based upon the user intent scores.

4. 发明授权

US11423423B2 System and method for interactive transaction information aggregation 有权
公开(公告)号：US11423423B2
公开(公告)日：2022-08-23
申请号：US16580659
申请日：2019-09-24
申请人： Capital One Services, LLC
发明人： Koon Heng Ivan Teo , Yazdan Shirvany , Joses Nthiga , Mohammad Shami , Francisco Perezleon , Fernando San Martin Jorquera
IPC分类号： G06Q30/02 , G06F16/9032
摘要： A transaction information aggregation system includes raw transaction and enriched transaction databases. The raw transaction database comprises transaction information for a plurality of transactions, including for each transaction an account holder identifier and at least one transaction parameter. The enriched transaction database comprises an indexed transaction record for each of the plurality of transactions, each record including a plurality of search terms associated with each of the at least one transaction parameter. A transaction information processing server is in data communication with the raw transaction and enriched transaction databases and is configured to receive raw transaction information for a new transaction, parse the raw transaction information to determine, associate search terms with a characteristic for each of the at least one transaction parameter, and establish a new indexed transaction record in the enriched transaction database for the new transaction, the new indexed transaction record including the additional searchable terms.

5. 发明授权

US10460330B1 Intelligent face identification 有权
公开(公告)号：US10460330B1
公开(公告)日：2019-10-29
申请号：US16100114
申请日：2018-08-09
申请人： Capital One Services, LLC
发明人： Ashwini Kumar , Yazdan Shirvany
IPC分类号： G06Q30/02 , G06K9/00
摘要： Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors. The operations can further include updating the existing visitor profiles and new visitor profiles based on actions of the known visitors and actions of the unknown visitors and providing the updated visitor profiles to the central database.

6. 发明授权

US12026730B2 System and method for interactive transaction information aggregation 有权
公开(公告)号：US12026730B2
公开(公告)日：2024-07-02
申请号：US17863184
申请日：2022-07-12
申请人： Capital One Services, LLC
发明人： Koon Heng Ivan Teo , Yazdan Shirvany , Joses Nthiga , Mohammad Shami , Francisco Perezleon , Fernando San Martin Jorquera
IPC分类号： G06Q30/0201 , G06F16/9032
CPC分类号： G06Q30/0201 , G06F16/9032
摘要： A transaction information aggregation system includes raw transaction and enriched transaction databases. The raw transaction database comprises transaction information for a plurality of transactions, including for each transaction an account holder identifier and at least one transaction parameter. The enriched transaction database comprises an indexed transaction record for each of the plurality of transactions, each record including a plurality of search terms associated with each of the at least one transaction parameter. A transaction information processing server is in data communication with the raw transaction and enriched transaction databases and is configured to receive raw transaction information for a new transaction, parse the raw transaction information to determine, associate search terms with a characteristic for each of the at least one transaction parameter, and establish a new indexed transaction record in the enriched transaction database for the new transaction, the new indexed transaction record including the additional searchable terms.

7. 发明申请

US20230120579A1 SYSTEMS AND METHODS USING FACIAL RECOGNITION FOR DETECTING PREVIOUS VISITS OF A PLURALITY OF INDIVIDUALS AT A LOCATION 有权
公开(公告)号：US20230120579A1
公开(公告)日：2023-04-20
申请号：US18067949
申请日：2022-12-19
申请人： Capital One Services, LLC
发明人： Ashwini Kumar , Yazdan Shirvany
IPC分类号： G06Q30/0201 , G06Q30/02 , G06Q30/0204 , G06V40/16
摘要： Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors. The operations can further include updating the existing visitor profiles and new visitor profiles based on actions of the known visitors and actions of the unknown visitors and providing the updated visitor profiles to the central database.

8. 发明申请

US20210312479A1 SYSTEMS AND METHODS USING FACIAL RECOGNITION FOR DETECTING PREVIOUS VISITS OF A PLURALITY OF INDIVIDUALS AT A LOCATION 有权
公开(公告)号：US20210312479A1
公开(公告)日：2021-10-07
申请号：US17350584
申请日：2021-06-17
申请人： Capital One Services, LLC
发明人： Ashwini Kumar , Yazdan Shirvany
IPC分类号： G06Q30/02 , G06K9/00
摘要： Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors. The operations can further include updating the existing visitor profiles and new visitor profiles based on actions of the known visitors and actions of the unknown visitors and providing the updated visitor profiles to the central database.

9. 发明公开

US20240289820A1 SYSTEMS AND METHODS USING FACIAL RECOGNITION FOR DETECTING PREVIOUS VISITS OF A PLURALITY OF INDIVIDUALS AT A LOCATION 审中-公开
公开(公告)号：US20240289820A1
公开(公告)日：2024-08-29
申请号：US18661232
申请日：2024-05-10
申请人： Capital One Services, LLC
发明人： Ashwini Kumar , Yazdan Shirvany
IPC分类号： G06Q30/0201 , G06Q30/02 , G06Q30/0204 , G06V40/16
CPC分类号： G06Q30/0201 , G06Q30/0204 , G06Q30/0281 , G06V40/173
摘要： Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors. The operations can further include updating the existing visitor profiles and new visitor profiles based on actions of the known visitors and actions of the unknown visitors and providing the updated visitor profiles to the central database.

10. 发明授权

US12033168B2 Systems and methods using facial recognition for detecting previous visits of a plurality of individuals at a location 有权
公开(公告)号：US12033168B2
公开(公告)日：2024-07-09
申请号：US18067949
申请日：2022-12-19
申请人： Capital One Services, LLC
发明人： Ashwini Kumar , Yazdan Shirvany
IPC分类号： G06Q30/02 , G06Q30/0201 , G06Q30/0204 , G06V40/16
CPC分类号： G06Q30/0201 , G06Q30/0204 , G06Q30/0281 , G06V40/173
摘要： Systems and methods for enhancing customer service are disclosed. The system can perform operations including detecting individuals and performing facial recognition on the individuals using visitor profiles stored by a local database. The operations can further include determining known visitors and unknown visitors among the individuals. The operations can further include generating new visitor profiles for the unknown visitors, obtaining identity information for the unknown visitors, and associating the identity information of the unknown visitors with the new visitor profiles. The operations can further include accessing identify information of the known visitors, obtaining personalized information for the known visitors from a central database, and providing the personalized information to the known visitors. The operations can further include updating the existing visitor profiles and new visitor profiles based on actions of the known visitors and actions of the unknown visitors and providing the updated visitor profiles to the central database.

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