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公开(公告)号:US11803847B2
公开(公告)日:2023-10-31
申请号:US16041658
申请日:2018-07-20
Applicant: eBay, Inc.
Inventor: David John Kamalsky , Vidit Aggarwal , Seyed-Mahdi Pedramrazi , Ethan Benjamin Rubinson , Sachin Tilloo , Sergio Pinzon Gonzales, Jr.
IPC: G06Q20/08 , G06Q20/38 , G06Q20/40 , H04L9/30 , G06F21/10 , G06F21/30 , G06F21/60 , G06F21/62 , G06Q20/42 , G06Q30/018 , G06Q40/08 , H04L65/612 , H04L67/53 , H04L67/63 , H04L9/06 , H04L9/32 , H04L9/40 , G06F16/18 , G06F16/27 , G06F21/64 , H04L67/52 , H04L9/00
CPC classification number: G06Q20/389 , G06F21/10 , G06F21/30 , G06F21/602 , G06F21/62 , G06F21/6218 , G06F21/6245 , G06Q20/0855 , G06Q20/3825 , G06Q20/3829 , G06Q20/401 , G06Q20/42 , G06Q30/018 , G06Q40/08 , H04L9/0637 , H04L9/0643 , H04L9/30 , H04L9/3236 , H04L9/3239 , H04L9/3247 , H04L9/3297 , H04L63/102 , H04L63/12 , H04L65/612 , H04L67/53 , H04L67/63 , G06F16/1805 , G06F16/27 , G06F21/645 , G06F2221/2107 , H04L9/50 , H04L67/52 , H04L2209/56
Abstract: Technologies are shown for controlling a transaction on a digitally stored blockchain by creating a contract data block for a transaction involving entities and by event code executed after receipt of digital signatures from the entities. A refund transaction may be digitally signed by entities and linked to the contract block within the blockchain. A payment transaction block may also be digitally signed by entities and linked to the contract block. Code authorized to execute by the blocks executes based on receipt of digital signature events.
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公开(公告)号:US20180150448A1
公开(公告)日:2018-05-31
申请号:US15363283
申请日:2016-11-29
Applicant: eBay Inc.
Inventor: Akshay Gupta , Hrishikesh Joshi , Saiyam Kohli , Vidit Aggarwal
CPC classification number: G06F17/275 , G06F17/273 , G06F17/278 , G06F17/289 , G06K9/6842
Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.
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公开(公告)号:US11797765B2
公开(公告)日:2023-10-24
申请号:US17320538
申请日:2021-05-14
Applicant: eBay Inc.
Inventor: Akshay Gupta , Hrishikesh Joshi , Saiyam Kohli , Vidit Aggarwal
IPC: G06F40/263 , G06F40/58 , G06F40/232 , G06F40/295 , G10L15/00 , G06V30/246 , G06F40/47 , G06F40/55
CPC classification number: G06F40/263 , G06F40/232 , G06F40/295 , G06F40/58 , G06F40/47 , G06F40/55 , G06V30/246 , G10L15/005
Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.
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公开(公告)号:US20190213248A1
公开(公告)日:2019-07-11
申请号:US16353796
申请日:2019-03-14
Applicant: eBay Inc.
Inventor: Akshay Gupta , Hrishikesh Joshi , Saiyam Kohli , Vidit Aggarwal
CPC classification number: G06F17/275 , G06F17/273 , G06F17/278 , G06F17/289 , G06K9/6842
Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.
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公开(公告)号:US20210271812A1
公开(公告)日:2021-09-02
申请号:US17320538
申请日:2021-05-14
Applicant: eBay Inc.
Inventor: Akshay Gupta , Hrishikesh Joshi , Saiyam Kohli , Vidit Aggarwal
IPC: G06F40/263 , G06F40/58 , G06F40/232 , G06F40/295
Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.
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公开(公告)号:US11010549B2
公开(公告)日:2021-05-18
申请号:US16353796
申请日:2019-03-14
Applicant: eBay Inc.
Inventor: Akshay Gupta , Hrishikesh Joshi , Saiyam Kohli , Vidit Aggarwal
IPC: G06F40/263 , G06F40/58 , G06F40/232 , G06F40/295 , G06K9/68 , G10L15/00
Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.
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公开(公告)号:US10282415B2
公开(公告)日:2019-05-07
申请号:US15363283
申请日:2016-11-29
Applicant: eBay Inc.
Inventor: Akshay Gupta , Hrishikesh Joshi , Saiyam Kohli , Vidit Aggarwal
Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.
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