Calculating a trust score

US10380703B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10380703-B2
Application numberUS-201715400471-A
CountryUS
Kind codeB2
Filing dateJan 6, 2017
Priority dateMar 20, 2015
Publication dateAug 13, 2019
Grant dateAug 13, 2019

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  1. Title

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  2. Abstract

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Systems, devices, and methods are described herein for calculating a trust score. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations. A system trust score may be calculated for an entity by combining a variety of factors, including verification data, a network connectivity score, publicly available information, and/or ratings data. A peer trust score targeted from a first entity to a second entity may also be calculated based on the above factors. In some embodiments, the peer trust score may be derived from the system trust score for the target entity and may take into account additional factors, including social network connections, group/demographic info, and location data. Finally, a contextual trust score may be calculated between the first and second entities based on a type of transaction or activity to be performed between the two entities.

First claim

Opening claim text (preview).

What is claimed is: 1. A method, comprising: determining, by a system comprising a processor, a trust score for a first entity reflective of a first degree of trustworthiness of the first entity without any relation to a second entity based on a first set of weights applied to values for trust valuation components, wherein the determining the trust score comprises: accessing, by the system via a network, one or more external data sources comprising information about the first entity related to the trust valuation components; and determining, by the system, the values for the trust valuation components based on the information; receiving, by the system, activity information indicating an activity for potential performance between the first entity and the second entity; determining, by the system, updated values for the trust valuation components based on one or more relations between the first entity and the second entity, wherein the one or more relations comprise one or more connections between the first entity and the second entity in one or more network communities; determining, by the system, a second set of weights for the trust valuation components based on relevance to the activity and the second entity; and determining, by the system prior to performance of the activity, an updated trust score for the first entity reflective of a second degree of trustworthiness of the first entity based on the updated values for the trust valuation components and the second set of weights, wherein the second degree of trustworthiness indicates a recommended degree of trust the second entity should have for the first entity in association with proceeding with the performance of the activity. 2. The method of claim 1 , wherein the determining the updated values further comprises determining the updated values based on the activity. 3. The method of claim 1 , wherein the determining the second set of weights comprises determining the second set of weights based on a type of the first entity or the second entity. 4. The method of claim 1 , wherein the determining the second set of weights comprises determining the second set of weights based on a relationship between the first entity and the second entity. 5. The method of claim 1 , further comprising: controlling, by the system, authorization for the performance of the activity based on the updated trust score relative to a threshold trust score. 6. The method of claim 1 , wherein the activity comprises a financial transaction, wherein the receiving the activity information comprises receiving valuation information reflective of a valuation of the financial transaction, and wherein the determining the second set of weights comprises determining the second set of weights based on the valuation. 7. The method of claim 1 , wherein the trust valuation components are selected from a group comprising: a data verification component, a network connectivity component, a credit score component, a core data component, a ratings/feedback component, a group/demographics component, a search engine mining component, and a transaction history component. 8. The method of claim 1 , further comprising: determining, by the system, a location associated with the first entity or the activity, and wherein the determining the updated trust score further comprises determining the updated trust score based on the location. 9. The method of claim 8 , wherein the determining the updated trust score comprises adjusting the trust score to reflect a degree of danger associated with the location. 10. The method of claim 1 , wherein the trust valuation components comprise a transaction history component and wherein the determining the updated values comprises recalculating a weight for the transaction history component based on transaction history data regarding transactions between the first entity and the second entity. 11. The method of claim 1 , wherein the trust valuation components comprise a transaction history component and wherein the determining the updated values comprises recalculating a value for the transaction history component based on transaction history data associated with the activity. 12. The method of claim 1 , wherein the second entity comprises a human and wherein the determining the updated trust score further comprises determining the updated trust score based on biological response information that reflects a biological response generated by the second entity in association with determining whether to proceed with the performance of the activity. 13. A system, comprising: a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining a trust score for a first entity reflective of a first degree of trustworthiness of the first entity without any relation to a second entity based on a first set of weights applied to values for trust valuation components, wherein the determining the trust score comprises: accessing one or more network accessible data sources comprising information about the first entity related to the trust valuation components; and determining, by the system, the values for the trust valuation components based on the information; receiving activity information indicating an activity for potential performance between the first entity and the second entity; determining updated values for the trust valuation components based on one or more relations between the first entity and the second entity, wherein the one or more relations comprise one or more connections between the first entity and the second entity in one or more network communities; determining a second set of weights for the trust valuation components based on relevance to the activity and the second entity; and determining, by the system prior to performance of the activity, an updated trust score for the first entity reflective of a second degree of trustworthiness of the first entity based on the updated values for the trust valuation components and the second set of weights, wherein the second degree of trustworthiness indicates a recommended degree of trust the second entity should have for the first entity in association with proceeding with the performance of the activity. 14. The system of claim 13 , wherein the determining the updated values further comprises determining the updated values based on the activity. 15. The system of claim 13 , wherein the determining the second set of weights comprises determining the second set of weights based on a type of the first entity or the second entity. 16. The system of claim 13 , wherein the determining the second set of weights comprises determining the second set of weight based on a relationship between the first entity and the second entity. 17. The system of claim 13 , wherein the operations further comprise: controlling authorization for the performance of the activity based on the updated trust score relative to a threshold trust score. 18. The system of claim 13 , wherein the activity comprises a financial transaction, wherein the receiving the activity information comprises receiving valuation information reflective of a valuation of the financial transaction, and wherein the determining the second set of weights comprises determining the second set of weights based on the valuation. 19. The system of claim 13 , wherein the trust valuation components are selected from a group comprising: a data verification criterion, a network connectivity criterion, a cre

Assignees

Inventors

Classifications

  • G06Q10/40Primary

    Business processes related to social networking or social networking services · CPC title

  • Credit; Loans; Processing thereof · CPC title

  • involving fraud or risk level assessment in transaction processing · CPC title

  • by monitoring network traffic (monitoring network traffic per se H04L43/00) · CPC title

  • Rating or review of business operators or products · CPC title

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What does patent US10380703B2 cover?
Systems, devices, and methods are described herein for calculating a trust score. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations. A system trust score may be calculated for an entity by combining a variety of factors, including verification data, a network connectivity score, publicly avai…
Who is the assignee on this patent?
Www Trustscience Com Inc
What technology area does this patent fall under?
Primary CPC classification G06Q10/40. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 13 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 11 related publications on this page (citations in our corpus or others sharing the same primary CPC).