Patents by Inventor Zhaochen Guo
Zhaochen Guo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20220300538Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: ApplicationFiled: June 7, 2022Publication date: September 22, 2022Inventors: Shane Chrapko, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Ashif Mawji
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Patent number: 11386129Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: GrantFiled: February 26, 2020Date of Patent: July 12, 2022Assignee: www.TrustScience.com Inc.Inventors: Shane Chrapko, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Ashif Mawji
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Publication number: 20200301969Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: ApplicationFiled: February 26, 2020Publication date: September 24, 2020Inventors: Shane Chrapko, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Ashif Mawji
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Publication number: 20200272645Abstract: In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.Type: ApplicationFiled: January 17, 2020Publication date: August 27, 2020Inventors: Chris Trudel, Zhaochen Guo, Leo M. Chan, Daniel Chi Yin Chui, Ashif Mawji
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Publication number: 20190095174Abstract: In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.Type: ApplicationFiled: November 29, 2018Publication date: March 28, 2019Inventors: Chris Trudel, Zhaochen Guo, Leo M. Chan, Daniel Chi Yin Chui, Ashif Mawji
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Patent number: 10180969Abstract: In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.Type: GrantFiled: March 22, 2017Date of Patent: January 15, 2019Assignee: WWW.TRUSTSCIENCE.COM INC.Inventors: Chris Trudel, Zhaochen Guo, Leo M. Chan, Daniel Chi Yin Chui, Ashif Mawji
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Publication number: 20180276280Abstract: In an environment containing big data, noisy data, and/or unstructured data, it is desirable to identify an entity referenced by input data. The entity can be identified by generating records corresponding to characteristics of the entity based on the input data. These records can be merged when it is determined that more than one record corresponds to the same entity. By doing so it is possible to more easily identify and classify information related to an entity, though such information may have been obtained in a manner that might otherwise be deemed unstructured or noisy. The method can be applied across large sets of data (“big data”) to obtain meaning from data that may otherwise be unclassifiable to a human observer.Type: ApplicationFiled: March 22, 2017Publication date: September 27, 2018Inventors: Chris Trudel, Zhaochen Guo, Leo M. Chan, Daniel Chi Yin Chui, Ashif Mawji
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Publication number: 20170357670Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: ApplicationFiled: July 7, 2017Publication date: December 14, 2017Inventors: Shane Chrapko, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Ashif Mawji
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Patent number: 9740709Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: GrantFiled: March 15, 2016Date of Patent: August 22, 2017Assignee: WWW.TRUSTSCIENCE.COM INC.Inventors: Ashif Mawji, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Shane Chrapko
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Publication number: 20170235792Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: ApplicationFiled: February 17, 2016Publication date: August 17, 2017Inventors: Ashif Mawji, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Shane Chrapko
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Publication number: 20170235766Abstract: Systems, devices, and methods are described herein for searching for entities based on trust score and geography. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations and may take into account a variety of factors, including verification data, network connectivity, publicly available information, ratings data, group/demographic information, location data, and transactions to be performed, among others. A user may search for entities within a certain geographic location that meet a desired trust score. The results of the search may be generated for display on a user device, for example, by generating a map that shows the current location of the user device and the identified entities. The search may be filtered by entering an anticipated activity or transaction to be performed or desired by the user, and thereby returning entities that are associated with the activity or transaction.Type: ApplicationFiled: March 15, 2016Publication date: August 17, 2017Inventors: Ashif Mawji, Christopher Trudel, Leo M. Chan, Zhaochen Guo, Shane Chrapko