Digital Content Curation and Distribution System and Method

• US 20120271825A1
• Filed: 04/20/2012
• Published: 10/25/2012
• Est. Priority Date: 04/22/2011
• Status: Active Grant

• Current Assignee: IRIS.TV, Inc.
• Original Assignee: JBTV, LLC
• Inventors: Owens, Winston, Garthwaite, Field J., Clausen, David, Hovey, Pehr
• Granted Patent: US 8,635,220 B2
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/735 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/7867 using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
• CPC Class Codes: H04N 21/24 Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests monitoring of server performance or load G06F11/34; arrangements for observation, testing or troubleshooting for broadcast or for distribution combined with broadcast H04H20/12
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/26258 for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list retrieval of multimedia data based on playlists G06F16/40
• CPC Class Codes: H04N 21/278 Content descriptor database or directory service for end-user access details of content or meta data based information retrieval of video data in video databases G06F16/739
• CPC Class Codes: H04N 21/44213 Monitoring of end-user related data arrangements for monitoring the users' behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: H04N 21/8586 by using a URL processing chained hypermedia data for information retrieval G06F16/94; information retrieval from the Internet by using URLs G06F16/955; URL in broadcast information H04H20/93; Web-based protocols H04L67/02

Abstract

Disclosed herein are systems and method for curating and distributing digital content; including: digital video, music, pictures, etc. For example, presented herein are systems and methods for providing a digital content program, including a plurality of continuously provided digital assets streamed over a digital content platform. Example embodiments include: (a) curating a plurality of assets; (b) selecting a subset of assets from the plurality of assets, based on similarity metrics between assets; and (c) ordering the subset of assets into a digital content program.

Claims

1. A method of providing a digital video content program, including a plurality of continuously played video assets streamed over a digital content platform, the method comprising:

(a) curating a plurality of video assets into a directed weighted content graph based on a content taxonomy;

(b) providing an application programming interface (API) configured to receive a programming request and an initially-viewed video asset, wherein the initially-viewed video asset is amongst the plurality of video assets curated into the content graph;

a service provider computer system then

(c) selecting a subset of video assets from the plurality of video assets, based on a similarity measurement between the initially-viewed video asset and one or more of the plurality of video assets, wherein the subset of video assets include two or more video assets;

(d) ordering the subset of video assets into a digital video content program; and

(e) sending the digital video content program to an end-user device via the API.

2. The method of claim 1, wherein the similarity measurement includes a calculation of minimum graph distance between the initially-viewed video asset and one or more video assets in the content graph.

3. The method of claim 1, wherein the similarity measurement includes data obtained from the group consisting of:

a term frequency-inverse document frequency (TF-IDF) analysis, a collaborative filtering analysis, and a trending analysis.

4. The method of claim 1, wherein the API is further configured to receive end-user data.

5. The method of claim 4, wherein the end-user data is selected from the group consisting of:

a user search query, a user rating of the initial asset, system data, viewing history, user interaction with initial asset, user interaction with one or more assets in the content graph, and any combination thereof.

6. The method of claim 5, wherein the ordering step is based in part on the end-user data.

7. The method of claim 1, further comprising:

the service provider computer system re-ordering the digital video content program.

8. The method of claim 1, wherein the API is further configured to receive aggregate user data for one or more assets in the content graph.

9. The method of claim 8, wherein the ordering step is based in part on the aggregate user data.

16. The computer-readable storage medium of claim 1, wherein the subset of video assets are ordered based aggregate user data for one or more assets in the content graph.

10. A computer-readable storage medium, for providing a digital video content program, including a plurality of continuously played video assets streamed over a digital content platform, comprising:

a directed weighted content graph having a plurality of video assets curated based on a content taxonomy; and

instructions executable by at least one processing device that, when executed, cause the processing device to

(a) receive a programming request and an initially-viewed video asset, wherein the initially-viewed video asset is amongst the plurality of video assets curated into the content graph,

(b) calculate a similarity measurement between the initially-viewed video asset and one or more of the plurality of video assets,

(c) select a subset of video assets from the plurality of video assets, based on the similarity measurement, wherein the subset of video assets include two or more video assets,

(d) order the subset of video assets into a digital video content program, and

(e) send the digital video content program to an end-user device.

11. The computer-readable storage medium of claim 10, wherein the similarity measurement includes a calculation of minimum graph distance between the initially-viewed video asset and one or more video assets in the content graph.

12. The computer-readable storage medium of claim 10, wherein the similarity measurement includes data obtained from the group consisting of:

a term frequency-inverse document frequency (TF-IDF) analysis, a collaborative filtering analysis, and a trending analysis.

13. The computer-readable storage medium of claim 10, wherein the subset of video assets are ordered based on end-user data.

14. The computer-readable storage medium of claim 13, wherein the end-user data is selected from the group consisting of:

a user search query, a user rating of the initial asset, system data, viewing history, user interaction with initial asset, user interaction with one or more assets in the content graph, and any combination thereof.

15. The computer-readable storage medium of claim 14, further comprising:

instructions executable by at least one processing device that, when executed, cause the processing device to re-order the digital video content program.

17. A system for providing a digital video content program, including a plurality of continuously played video assets streamed over a digital content platform, comprising:

means for receiving a programming request and an initially-viewed video asset, wherein the initially-viewed video asset is amongst a plurality of video assets curated into a directed weighted content graph;

means for calculating a similarity measurement between the initially-viewed video asset and one or more of the plurality of video assets;

means for selecting a subset of video assets from the plurality of video assets, based on the similarity measurement, wherein the subset of video assets include two or more video assets;

means for ordering the subset of video assets into a digital video content program; and

means for sending the digital video content program to an end-user device.

18. The system of claim 17, wherein the similarity measurement includes a calculation of minimum graph distance between the initially-viewed video asset and one or more video assets in the content graph.

19. The system of claim 18, wherein the similarity measurement includes data obtained from the group consisting of:

a term frequency-inverse document frequency (TF-IDF) analysis, a collaborative filtering analysis, and a trending analysis.

20. The system of claim 17, wherein the subset of video assets are ordered based on end-user data, and wherein the end-user data is selected from the group consisting of:

a user search query, a user rating of the initial asset, system data, viewing history, user interaction with initial asset, user interaction with one or more assets in the content graph, and any combination thereof.