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公开(公告)号:US20230043095A1
公开(公告)日:2023-02-09
申请号:US17394352
申请日:2021-08-04
申请人: Pinterest, Inc.
发明人: Evrhet Milam , Tiffany C. Black , Ryan Wilson Probasco , Will Fu , David Temple , Dmitry Olegovich Kislyuk , Andrey Dmitriyevich Gusev
摘要: Disclosed are systems and methods that authenticate non-fungible tokens (“NFT”) and/or digital data represented by or pointed to by an NFT. In some implementations, authentication may be with respect to an existing NFT. In other implementations, authentication may be with respect to an NFT that is being created. The disclosed implementations may compare a candidate and/or candidate NFT data with existing NFTs and/or existing NFT data to determine if the candidate NFT and/or candidate NFT data is similar to other NFTs and/or other NFT data of another NFT, which may exist on any of many different blockchains.
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公开(公告)号:US11985253B2
公开(公告)日:2024-05-14
申请号:US17394352
申请日:2021-08-04
申请人: Pinterest, Inc.
发明人: Evrhet Milam , Tiffany C. Black , Ryan Wilson Probasco , Will Fu , David Temple , Dmitry Olegovich Kislyuk , Andrey Dmitriyevich Gusev
CPC分类号: H04L9/3247 , G06F18/214 , G06N20/00 , H04L9/0643 , H04L9/0819 , H04L9/30 , H04L9/50
摘要: Disclosed are systems and methods that authenticate non-fungible tokens (“NFT”) and/or digital data represented by or pointed to by an NFT. In some implementations, authentication may be with respect to an existing NFT. In other implementations, authentication may be with respect to an NFT that is being created. The disclosed implementations may compare a candidate and/or candidate NFT data with existing NFTs and/or existing NFT data to determine if the candidate NFT and/or candidate NFT data is similar to other NFTs and/or other NFT data of another NFT, which may exist on any of many different blockchains.
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公开(公告)号:US11233761B1
公开(公告)日:2022-01-25
申请号:US16575813
申请日:2019-09-19
申请人: Pinterest, Inc.
发明人: Andrey Dmitriyevich Gusev , Wenke Zhang , Hsiao-Ching Chang , Qinglong Zeng , Peter John Daoud , Jun Liu , Grace Chin , Zhuoyuan Li , Jacob Franklin Hanger , Vincent Bannister
摘要: Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
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公开(公告)号:US20230388261A1
公开(公告)日:2023-11-30
申请号:US18302741
申请日:2023-04-18
申请人: Pinterest, Inc.
发明人: Andrey Dmitriyevich Gusev , Wenke Zhang , Hsiao-Ching Chang , Qinglong Zeng , Peter John Daoud , Jun Liu , Grace Chin , Zhuoyuan Li , Jacob Franklin Hanger , Vincent Bannister
IPC分类号: H04L51/216 , H04L51/063 , G06N20/00
CPC分类号: H04L51/216 , H04L51/063 , G06N20/00
摘要: Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
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公开(公告)号:US11665121B2
公开(公告)日:2023-05-30
申请号:US17579386
申请日:2022-01-19
申请人: Pinterest, Inc.
发明人: Andrey Dmitriyevich Gusev , Wenke Zhang , Hsiao-Ching Chang , Qinglong Zeng , Peter John Daoud , Jun Liu , Grace Chin , Zhuoyuan Li , Jacob Franklin Hanger , Vincent Bannister
IPC分类号: H04L51/216 , H04L51/063 , G06N20/00
CPC分类号: H04L51/216 , G06N20/00 , H04L51/063
摘要: Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
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公开(公告)号:US20220150203A1
公开(公告)日:2022-05-12
申请号:US17579386
申请日:2022-01-19
申请人: Pinterest, Inc.
发明人: Andrey Dmitriyevich Gusev , Wenke Zhang , Hsiao-Ching Chang , Qinglong Zeng , Peter John Daoud , Jun Liu , Grace Chin , Zhuoyuan Li , Jacob Franklin Hanger , Vincent Bannister
IPC分类号: H04L51/00 , H04L51/063 , G06N20/00
摘要: Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.
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