Trust framework for platform data

Patent metadata

Field	Value
Publication number	US-9928290-B2
Application number	US-201615095481-A
Country	US
Kind code	B2
Filing date	Apr 11, 2016
Priority date	Aug 17, 2015
Publication date	Mar 27, 2018
Grant date	Mar 27, 2018

Abstract

Techniques are described for determining and employing trust metrics for entities interacting with a super-platform. An end-user may interact with multiple individual platforms of different types. The individual platforms may generate data based on the interactions with end-user(s). The data from the various individual platforms may be received, ingested, stored, analyzed, aggregated, and/or otherwise processed by a super-platform. The super-platform may provide the data, aggregate data, and/or data analysis results to data consumer(s) through a marketplace associated with the super-platform. In some implementations, entities such as data providers, data manipulators, and/or data consumers may rate one another and, based on the rating(s), a trust metric may be determined that indicates a trust level of an entity.

First claim

What is claimed is:

1. A computer-implemented method comprising:
storing, on one or more storage devices associated with a super-platform, data generated at a plurality of individual platforms, the data associated with at least one end-user of the plurality of individual platforms;
determining data tracking information including one or more events associated with the data, the one or more events including a distribution of the data to a data consumer, the data tracking information including a blockchain associated with the data;
based at least partly on the data tracking information, determining a data consumer trust metric that indicates a level of trust in the data consumer;
determining a data provider trust metric that indicates a level of trust in one or more of an end-user and an individual platform that generated the data, the data provider trust metric based at least partly on at least one trust rating provided by at least one data consumer;
incorporating the data provider trust metric into the data tracking information associated with the data;
aggregating the data from multiple individual platforms to generate aggregate data;
determining aggregate data tracking information including one or more events associated with the aggregate data; and
presenting the data consumer trust metric to the at least one end-user.

2. The method of claim 1 , wherein the data tracking information includes an event that indicates the aggregating of the data and that includes a pointer to the aggregate data tracking information associated with the aggregate data.

3. The method of claim 1 , further comprising:
determining an aggregate trust metric for the aggregate data based at least partly on individual trust metrics for portions of the data that are aggregated to generate the aggregate data; and
incorporating the aggregate trust metric into the aggregate data tracking information associated with the aggregate data.

4. The method of claim 1 , further comprising:
receiving one or more restrictions on use of the data, the one or more restrictions provided by the at least one end-user;
monitoring the use of the data to determine a degree of compliance, by the data consumer, with the one or more restrictions; and
updating the data consumer trust metric based on the determined degree of compliance.

5. The method of claim 1 , wherein the data consumer trust metric is further based at least partly on at least one trust rating provided by the at least one end-user.

6. The method of claim 1 , wherein the plurality of individual platforms include at least two of:
an e-commerce platform configured to provide an e-commerce service;
a retail platform configured to support retail operations of a physical store;
a media platform configured to provide an online media service;
a mobile computing device;
an Internet of Things (IoT) computing device; or
an in-vehicle computer.

7. A system comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor, the memory storing instructions which, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
storing, on one or more storage devices associated with a super-platform, data generated at a plurality of individual platforms, the data associated with at least one end-user of the plurality of individual platforms;
determining data tracking information including one or more events associated with the data, the one or more events including a distribution of the data to a data consumer, the data tracking information including a blockchain associated with the data;
based at least partly on the data tracking information, determining a data consumer trust metric that indicates a level of trust in the data consumer;
determining a data provider trust metric that indicates a level of trust in one or more of an end-user and an individual platform that generated the data, the data provider trust metric based at least partly on at least one trust rating provided by at least one data consumer;
incorporating the data provider trust metric into the data tracking information associated with the data;
aggregating the data from multiple individual platforms to generate aggregate data;
determining aggregate data tracking information including one or more events associated with the aggregate data; and
presenting the data consumer trust metric to the at least one end-user.

8. The system of claim 1 , wherein the data tracking information includes an event that indicates the aggregating of the data and that includes a pointer to the aggregate data tracking information associated with the aggregate data.

9. The system of claim 1 , the operations further comprising:
determining an aggregate trust metric for the aggregate data based at least partly on individual trust metrics for portions of the data that are aggregated to generate the aggregate data; and
incorporating the aggregate trust metric into the aggregate data tracking information associated with the aggregate data.

10. One or more non-transitory computer-readable storage media storing instructions which, when executed by at least one processor, cause the at least one processor to perform operations comprising:
storing, on one or more storage devices associated with a super-platform, data generated at a plurality of individual platforms, the data associated with at least one end-user of the plurality of individual platforms;
determining data tracking information including one or more events associated with the data, the one or more events including a distribution of the data to a data consumer, the data tracking information including a blockchain associated with the data;
based at least partly on the data tracking information, determining a data consumer trust metric that indicates a level of trust in the data consumer;
determining a data provider trust metric that indicates a level of trust in one or more of an end-user and an individual platform that generated the data, the data provider trust metric based at least partly on at least one trust rating provided by at least one data consumer;
incorporating the data provider trust metric into the data tracking information associated with the data;
aggregating the data from multiple individual platforms to generate aggregate data;
determining aggregate data tracking information including one or more events associated with the aggregate data; and
presenting the data consumer trust metric to the at least one end-user.

11. The one or more computer-readable storage media of claim 10 , the operations further comprising:
receiving one or more restrictions on use of the data, the one or more restrictions provided by the at least one end-user;
monitoring the use of the data to determine a degree of compliance, by the data consumer, with the one or more restrictions; and
updating the data consumer trust metric based on the determined degree of compliance.

12. The one or more computer-readable storage media of claim 10 , wherein the data consumer trust metric is further based at least partly on at least one trust rating provided by the at least one end-user.

13. The one or more computer-readable storage media of claim 10 , wherein the plurality of individual platforms include at least two of:
an e-commerce platform configured to provide an e-commerce service;
a retail platform configured to support retail operations of a physical store;
a media platform configured to provide an online media service;
a mobile computing device;
an Internet of Things (IoT) computing device; or
an in-vehicle computer.

Assignees

• Accenture Global Solutions Ltd

Inventors

• Tiell Steven C

Classifications

• G06F16/113

  Details of archiving (lifecycle management in storage systems G06F3/0649; point-in-time backing up or restoration of persistent data G06F11/1446) · CPC title

• G06F16/162

  Delete operations (erasing in storage systems G06F3/0652) · CPC title

• G06Q30/0631

  Recommending goods or services · CPC title

• G06F16/22

  Indexing; Data structures therefor; Storage structures · CPC title

• G06F21/6227

  where protection concerns the structure of data, e.g. records, types, queries · CPC title