System and methods for filtering based on social media

• US 10,332,133 B2
• Filed: 07/05/2018
• Issued: 06/25/2019
• Est. Priority Date: 06/03/2011
• Status: Active Grant

• Current Assignee: CBS Interactive Inc. (ViacomCBS Incorporated)
• Original Assignee: CBS Interactive Inc. (ViacomCBS Incorporated)
• Inventors: Goldband, Adam, Shirey, Andrew, Hiatt, Adam
• Primary Examiner(s): Swearingen, Jeffrey R
• Application Number:
  US16/027,435
• Publication Number:
  US 20190005517A1
• Time in Patent Office: 355 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems, computer-implemented methods, and media for providing a graph of assets by one or more computing devices include building an asset graph from a data set of assets, the asset graph including plural assets, at least one connection connecting each asset to one or more other asset in the graph, and metadata associated with each connection storing details relating to the connection; identifying an asset in the asset graph that corresponds to an asset in a third party social media platform'"'"'s asset graph; requesting information relating to connections to the identified asset; receiving the requested information relating to connections to the identified asset; and building out the asset graph according to the received information.

Claims

1. A system for organizing asset data, the system comprising:

a database storing asset data items in an ontological index defining relationships between individual asset data items, wherein the relationships are defined based on metadata associated with each asset data item, and wherein each asset data item represents an item comprising a product, a service, an article, video content, a website, user generated content, or an advertisement; and

at least one computer processor;

at least one memory operatively coupled to the at least one computer processor and having computer readable instructions stored thereon which, when executed by the at least one processor, cause the at least one processor to;

receive information over a distributed network from a social graph of one or more social media platforms that are external to the database to identify a user review stored in the one or more social media platforms and corresponding to an individual item not represented by an asset data item in the ontological index;

determine, based on the user review of the individual item, one or more correlative relationships between the individual item and at least one asset data item in the ontological index;

generate a new asset data item representing the individual item, including metadata for the new asset item based on the one or more correlative relationships; and

store the new asset data item in the database in a manner that is integrated into the ontological index.

2. The system of claim 1, wherein the instructions further cause the one or more processors to determine a strength of the user review by based on information in the one or more social media platforms.

3. The system of claim 2, wherein the strength of the user review is determined by a number of positive indicators attributed to the user review.

4. The system of claim 3, wherein the metadata for the new asset item indicates the strength of the user review.

5. The system of claim 4 wherein the strength of the user review at least partially defines a strength of the one or more correlative relationships between the individual item of the new asset data item and at least one other asset data items in the ontological index.

7. The computer-implemented method of claim 5, further comprising determining a strength of the user review by based on information in the one or more social media platforms.

8. The computer-implemented method of claim 7, wherein the strength of the user review is determined by a number of positive indicators attributed to the user review.

9. The computer-implemented method of claim 8, wherein the incorporated metadata indicates the strength of the user review.

10. The computer-implemented method of claim 9 wherein the strength of the user review at least partially defines a strength of the one or more correlative relationships between the individual item of the new asset data item and at least one other asset data items in the ontological index.

6. A computer-implemented method for organizing asset data, the method executed by one or more processors and comprising:

storing asset data items in an ontological index defining relationships between individual asset data items, wherein the relationships are defined based on metadata associated with each asset data item, and wherein each asset data item represents an item comprising a product, a service, an article, video content, a website, user generated content, or an advertisement;

receiving information over a distributed network from a social graph of one or more social media platforms that are external to the database to identify a user review stored in the one or more social media platforms and corresponding to an individual item not represented by an asset data item in the ontological index;

determining, based on the user review of the individual item, one or more correlative relationships between the individual item and at least one asset data item in the ontological index;

generating a new asset data item representing the individual item, including metadata for the new asset item based on the one or more correlative relationships; and

storing the new asset data item in the database in a manner that is integrated into the ontological index.

11. A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, performs a method including:

storing asset data items in an ontological index defining relationships between individual asset data items, wherein the relationships are defined based on metadata associated with each asset data item, and wherein each asset data item represents an item comprising a product, a service, an article, video content, a website, user generated content, or an advertisement;

receiving information over a distributed network from a social graph of one or more social media platforms that are external to the database to identify a user review stored in the one or more social media platforms and corresponding to an individual item not represented by an asset data item in the ontological index;

determining, based on the user review of the individual item, one or more correlative relationships between the individual item and at least one asset data item in the ontological index;

generating a new asset data item representing the individual item, including metadata for the new asset item based on the one or more correlative relationships; and

storing the new asset data item in the database in a manner that is integrated into the ontological index.

12. The non-transitory computer-readable medium of claim 11, wherein the instructions further cause a processor to determine a strength of the user review by based on information in the one or more social media platforms.

13. The non-transitory computer-readable medium of claim 12, wherein the strength of the user review is determined by a number of positive indicators attributed to the user review.

14. The non-transitory computer-readable medium of claim 13, wherein the metadata indicates the strength of the user review.

15. The non-transitory computer-readable medium of claim 13, wherein the strength of the user review at least partially defines a strength of the one or more correlative relationships between the individual item of the new asset data item and at least one other asset data items in the ontological index.