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1.发明授权公开(公告)号：US11175808B2
公开(公告)日：2021-11-16
申请号：US15588297
申请日：2017-05-05
发明人： Markus Frind , Steve Oldridge , Jesse Lee Faltus
IPC分类号： G06F7/00 , G06F3/0484 , G06N5/04 , G06Q50/00 , G06F16/9535 , G06F16/2457
摘要： Information related to apparently successful matches between two entities is collected, and culled based on a later indication that the match failed. Matches between two entities may be generated based on comparative information with other entities who appear to share some characteristics or preferences. Matches may be based on actual actions, in contrast to expressed preferences. Actual actions may be taken into account in addition to expressed preferences. Generation of matches may take into account geographical and/or temporal proximity and/or likelihood of receiving a response, in addition to other attributes of an entity. Matching algorithms may be updated based on entity input. Potential matches may be presented to third party entities for evaluation.
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公开(公告)号：US10277710B2
公开(公告)日：2019-04-30
申请号：US15782354
申请日：2017-10-12
发明人： Thomas Levi , Steve Oldridge
摘要： A fraud detection system may obtain a number of known fraudulent end-user profiles and/or otherwise undesirable end-user profiles. Using statistical analysis techniques that include clustering the end-user profiles by attributes and attribute values and/or combinations of attributes and attribute values, the fraud detection system identifies on a continuous, periodic, or aperiodic basis those attribute values and/or attribute value combinations that appear in fraudulent or otherwise undesirable end-user profiles. Using this data, the fraud detection system generates one or more queries to identify those end-user profiles having attribute values or combinations of attribute values that likely indicate a fraudulent or otherwise undesirable end-user profile. The fraud detection system can run these queries against incoming registrations to identify and screen fraudulent end-user profiles from entering the system and can also run these queries against stored end-user profile databases to identify and remove fraudulent or otherwise undesirable end-user profiles from the end-user database.
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公开(公告)号：US20240333807A1
公开(公告)日：2024-10-03
申请号：US18622553
申请日：2024-03-29
发明人： Thomas Levi , Steve Oldridge
IPC分类号： H04L67/306 , G06F21/55 , G06F21/57
CPC分类号： H04L67/306 , G06F21/552 , G06F21/577
摘要： A fraud detection system obtains a number of known fraudulent end-user profiles and/or otherwise undesirable end-user profiles. Using statistical analysis techniques that include clustering the end-user profiles by attributes and attribute values and/or combinations of attributes and attribute values, the fraud detection system identifies on a continuous, periodic, or aperiodic basis those attribute values and/or attribute value combinations that appear in fraudulent or otherwise undesirable end-user profiles. Using this data, the fraud detection system generates one or more queries to identify those end-user profiles having attribute values or combinations of attribute values that likely indicate a fraudulent or otherwise undesirable end-user profile. The fraud detection system runs these queries against incoming registrations to identify and screen fraudulent end-user profiles from entering the system and also runs these queries against stored end-user profile databases to identify and remove fraudulent or otherwise undesirable end-user profiles from the end-user database.
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4.发明授权公开(公告)号：US11747971B2
公开(公告)日：2023-09-05
申请号：US17526973
申请日：2021-11-15
发明人： Markus Frind , Steve Oldridge , Jesse Lee Faltus
IPC分类号： G06F7/00 , G06F3/04845 , G06N5/04 , G06Q50/00 , G06F16/9535 , G06F16/2457
CPC分类号： G06F3/04845 , G06F16/24578 , G06F16/9535 , G06N5/04 , G06Q50/01
摘要： Information related to apparently successful matches between two entities is collected, and culled based on a later indication that the match failed. Matches between two entities may be generated based on comparative information with other entities who appear to share some characteristics or preferences. Matches may be based on actual actions, in contrast to expressed preferences. Actual actions may be taken into account in addition to expressed preferences. Generation of matches may take into account geographical and/or temporal proximity and/or likelihood of receiving a response, in addition to other attributes of an entity. Matching algorithms may be updated based on entity input. Potential matches may be presented to third party entities for evaluation.
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5.发明申请公开(公告)号：US20210234748A1
公开(公告)日：2021-07-29
申请号：US17009650
申请日：2020-09-01
发明人： Markus Frind , Steve Oldridge
IPC分类号： H04L29/08 , G06Q30/08 , G06F16/9535 , H04L12/58
摘要： Information related to apparently successful matches between two entities is collected, and culled based on a later indication that the match failed. Matches between two entities may be generated based on comparative information with other entities who appear to share some characteristics or preferences. Matches may be based on actual actions, in contrast to expressed preferences. Actual actions may be taken into account in addition to expressed preferences. Generation of matches may take into account geographical and/or temporal proximity and/or likelihood of receiving a response, in addition to other attributes of an entity. Matching algorithms may be updated based on entity input. Potential matches may be presented to third party entities for evaluation.
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公开(公告)号：US20230125592A1
公开(公告)日：2023-04-27
申请号：US18069866
申请日：2022-12-21
发明人： Thomas Levi , Steve Oldridge
IPC分类号： H04L67/306 , G06F21/55 , G06F21/57
摘要： A fraud detection system may obtain a number of known fraudulent end-user profiles and/or otherwise undesirable end-user profiles. Using statistical analysis techniques that include clustering the end-user profiles by attributes and attribute values and/or combinations of attributes and attribute values, the fraud detection system identifies on a continuous, periodic, or aperiodic basis those attribute values and/or attribute value combinations that appear in fraudulent or otherwise undesirable end-user profiles. Using this data, the fraud detection system generates one or more queries to identify those end-user profiles having attribute values or combinations of attribute values that likely indicate a fraudulent or otherwise undesirable end-user profile. The fraud detection system can run these queries against incoming registrations to identify and screen fraudulent end-user profiles from entering the system and can also run these queries against stored end-user profile databases to identify and remove fraudulent or otherwise undesirable end-user profiles from the end-user database.
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公开(公告)号：US11568008B2
公开(公告)日：2023-01-31
申请号：US16663230
申请日：2019-10-24
发明人： Steven Kuchka , Eric MacKinnon , Steve Oldridge
IPC分类号： G06F16/9535 , G06Q50/00 , G06F16/332 , G06F16/23
摘要： Information related to apparently successful end users is collected, stored, and used to generate at least one evaluation criteria to compare to at least one component of a respective end user desiring to become a successful end user. The information may be generated based on comparative information with other entities who appear to share some components with the respective end user. The components may be based on actual actions, preferences, constraints, attributes, etc. A number of components of the respective end user are compared relative to a set of defined evaluation criteria that specifies defined evaluation criteria for at least some of those components. In response to detecting at least one discrepancy, a prompt is provided to the respective end user indicative of the discrepancy.
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8.发明授权公开(公告)号：US10769221B1
公开(公告)日：2020-09-08
申请号：US15376168
申请日：2016-12-12
发明人： Markus Frind , Steve Oldridge
IPC分类号： G06F16/9535 , H04L12/58
摘要： Information related to apparently successful matches between two entities is collected, and culled based on a later indication that the match failed. Matches between two entities may be generated based on comparative information with other entities who appear to share some characteristics or preferences. Matches may be based on actual actions, in contrast to expressed preferences. Actual actions may be taken into account in addition to expressed preferences. Generation of matches may take into account geographical and/or temporal proximity and/or likelihood of receiving a response, in addition to other attributes of an entity. Matching algorithms may be updated based on entity input. Potential matches may be presented to third party entities for evaluation.
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公开(公告)号：US11546433B2
公开(公告)日：2023-01-03
申请号：US16833427
申请日：2020-03-27
发明人： Thomas Levi , Steve Oldridge
IPC分类号： H04L67/306 , G06F21/55 , G06F21/57
摘要： A fraud detection system may obtain a number of known fraudulent end-user profiles and/or otherwise undesirable end-user profiles. Using statistical analysis techniques that include clustering the end-user profiles by attributes and attribute values and/or combinations of attributes and attribute values, the fraud detection system identifies on a continuous, periodic, or aperiodic basis those attribute values and/or attribute value combinations that appear in fraudulent or otherwise undesirable end-user profiles. Using this data, the fraud detection system generates one or more queries to identify those end-user profiles having attribute values or combinations of attribute values that likely indicate a fraudulent or otherwise undesirable end-user profile. The fraud detection system can run these queries against incoming registrations to identify and screen fraudulent end-user profiles from entering the system and can also run these queries against stored end-user profile databases to identify and remove fraudulent or otherwise undesirable end-user profiles from the end-user database.
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10.发明申请公开(公告)号：US20180039773A1
公开(公告)日：2018-02-08
申请号：US15782354
申请日：2017-10-12
发明人： Thomas Levi , Steve Oldridge
CPC分类号： H04L67/306 , G06F21/552 , G06F21/577
摘要： A fraud detection system may obtain a number of known fraudulent end-user profiles and/or otherwise undesirable end-user profiles. Using statistical analysis techniques that include clustering the end-user profiles by attributes and attribute values and/or combinations of attributes and attribute values, the fraud detection system identifies on a continuous, periodic, or aperiodic basis those attribute values and/or attribute value combinations that appear in fraudulent or otherwise undesirable end-user profiles. Using this data, the fraud detection system generates one or more queries to identify those end-user profiles having attribute values or combinations of attribute values that likely indicate a fraudulent or otherwise undesirable end-user profile. The fraud detection system can run these queries against incoming registrations to identify and screen fraudulent end-user profiles from entering the system and can also run these queries against stored end-user profile databases to identify and remove fraudulent or otherwise undesirable end-user profiles from the end-user database.
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