IP Library Granted Patent US 11,372,947
Granted Patent B2
US 11,372,947 · App. 17/019,182 · Granted Jun 28, 2022

System and method for automatic selection for dynamic site compilation within a cloud-based content hub environment

Inventors: Robin Fisher (Palo Alto, CA); David Peterson (Snohomish, WA); Hareesh S. Kadlabalu (Plainview, NY)
Assignee: ORACLE INTERNATIONAL CORPORATION
G06F16/958G06F8/41G06F16/252G06F16/907G06F16/951G06F16/957G06F16/9574G06K9/6256H04L41/16H04L67/42
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Quick Facts
Patent No.
US 11,372,947
App. No.
17/019,182
Granted
Jun 28, 2022
Kind
B2
Abstract

Described herein are systems and methods automatic selection for dynamic site compilation in a cloud-based content hub environment. In accordance with an embodiment, embodiments provide an artificial intelligence/machine learning (AI/ML) engine that monitors and collects both content and consumption analytics associated with content items on a webpage. Based upon an analysis of such metrics, content can be automatically tagged such that the content item can be statically compiled with the website (optimized for viewing speed and user experience), or dynamically fetched/loaded on a load or refresh of the website.

Claims (77)

1. A system for automatic selection for dynamic site compilation in a cloud-based content hub environment, comprising:

a computer including a microprocessor;

a cloud-based content hub comprising

an application interface adapted to receive commands;

a content management system comprising at least one database;

a website development kit having a connection to at least the content management system; and

a web server comprising a website database; and

a content analytics engine, the content analytics engine being associated with a cache comprising a training set;

wherein commands are received, via the application interface, to build a website, wherein the commands target at least one content item stored at the content management system;

wherein the at least one content item, after being targeted by the commands, is associated with at least one metadata tag;

wherein the content analytics engine performs an optimization analysis of the at least one content item associated with the metadata tag;

wherein based upon a result of the optimization analysis, the metadata tag is automatically set; and

wherein the website development kit compiles and publishes a website based at least upon the received commands, the compiled website comprising the at least one content item, the compiled website being publicly accessible.

2. The system of claim 1 ,

wherein the website is compiled and published at the web server.

3. The system of claim 2 ,

wherein the content analytics engine monitors and records content analytics associated with the at least one content item stored at the content management system; and

wherein the content analytics engine monitors and records consumption analytics associated with the at least one content item published at the web server.

4. The system of claim 3 ,

wherein the content analytics engine records the content analytics associated with the at least one content item stored at the content management system at the cache comprising the training set; and

wherein the content analytics engine records the consumption analytics associated with the at least one content item published at the web server at the cache comprising the training set.

5. The system of claim 4 ,

wherein based on at least the recorded content analytics and the recorded consumption analytics, the automatic setting of the metadata tag indicates the content item is to be statically compiled at the web server.

6. The system of claim 4 ,

wherein based on at least the recorded content analytics and the recorded consumption analytics, the automatic setting of the metadata tag indicates the content item is to be dynamically loaded on a load or refresh of the website.

7. The system of claim 4 ,

wherein the monitoring and recording, by the content analytics engine, of the content analytics associated with the at least one content item and the consumption analytics associated with the at least one content item is performed continuously.

8. A method for automatic selection for dynamic site compilation in a cloud-based content hub environment, comprising:

providing, at a computer including a microprocessor, a cloud-based content hub comprising

an application interface adapted to receive commands;

a content management system comprising at least one database;

a website development kit having a connection to at least the content management system; and

a web server comprising a website database;

providing a content analytics engine, the content analytics engine being associated with a cache comprising a training set;

receiving commands, via the application interface, to build a website, wherein the commands target at least one content item stored at the content management system;

associating the at least one content item, after being targeted by the commands, with at least one metadata tag;

performing, by the content analytics engine, an optimization analysis of the at least one content item associated with the metadata tag;

automatically setting the metadata tag based upon a result of the optimization analysis; and

compiling and publishing, by the website development kit, a website based at least upon the received commands, the compiled website comprising the at least one content item, the compiled website being publicly accessible.

9. The method of claim 8 ,

wherein the website is compiled and published at the web server.

10. The method of claim 9 ,

wherein the content analytics engine monitors and records content analytics associated with the at least one content item stored at the content management system; and

wherein the content analytics engine monitors and records consumption analytics associated with the at least one content item published at the web server.

11. The method of claim 10 ,

wherein the content analytics engine records the content analytics associated with the at least one content item stored at the content management system at the cache comprising the training set; and

wherein the content analytics engine records the consumption analytics associated with the at least one content item published at the web server at the cache comprising the training set.

12. The method of claim 11 ,

wherein based on at least the recorded content analytics and the recorded consumption analytics, the automatic setting of the metadata tag indicates the content item is to be statically compiled at the web server.

13. The method of claim 11 ,

wherein based on at least the recorded content analytics and the recorded consumption analytics, the automatic setting of the metadata tag indicates the content item is to be dynamically loaded on a load or refresh of the website.

14. The method of claim 11 ,

wherein the monitoring and recording, by the content analytics engine, of the content analytics associated with the at least one content item and the consumption analytics associated with the at least one content item is performed continuously.

15. A non-transitory computer readable storage medium having instructions thereon for automatic selection for dynamic site compilation in a cloud-based content hub environment, which when read and executed by a computer cause the computer to perform steps comprising:

providing, at a computer including a microprocessor, a cloud-based content hub comprising

an application interface adapted to receive commands;

a content management system comprising at least one database;

a website development kit having a connection to at least the content management system; and

a web server comprising a website database;

providing a content analytics engine, the content analytics engine being associated with a cache comprising a training set;

receiving commands, via the application interface, to build a website, wherein the commands target at least one content item stored at the content management system;

associating the at least one content item, after being targeted by the commands, with at least one metadata tag;

performing, by the content analytics engine, an optimization analysis of the at least one content item associated with the metadata tag;

automatically setting the metadata tag based upon a result of the optimization analysis; and

compiling and publishing, by the website development kit, a website based at least upon the received commands, the compiled website comprising the at least one content item, the compiled website being publicly accessible.

16. The non-transitory computer readable storage medium of claim 15 ,

wherein the website is compiled and published at the web server.

17. The non-transitory computer readable storage medium of claim 16 ,

wherein the content analytics engine monitors and records content analytics associated with the at least one content item stored at the content management system; and

wherein the content analytics engine monitors and records consumption analytics associated with the at least one content item published at the web server.

18. The non-transitory computer readable storage medium of claim 17 ,

wherein the content analytics engine records the content analytics associated with the at least one content item stored at the content management system at the cache comprising the training set; and

wherein the content analytics engine records the consumption analytics associated with the at least one content item published at the web server at the cache comprising the training set.

19. The non-transitory computer readable storage medium of claim 18 ,

wherein based on at least the recorded content analytics and the recorded consumption analytics, the automatic setting of the metadata tag indicates the content item is to be statically compiled at the web server.

20. The non-transitory computer readable storage medium of claim 18 ,

wherein based on at least the recorded content analytics and the recorded consumption analytics, the automatic setting of the metadata tag indicates the content item is to be dynamically loaded on a load or refresh of the website.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 4, 2020
From: FISHER, ROBIN; PETERSON, DAVID; KADLABALU, HAREESH S.
To: ORACLE INTERNATIONAL CORPORATION
Reel/Frame 054274/0209 →
Continuity (2)
Provisional Application 62900266 · Sep 13, 2019
Related Publication 20210081471A1 · Mar 18, 2021