System and method for improving detection of bad content by analyzing reported content
US-2022286419-A1 · Sep 8, 2022 · US
US11599810B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11599810-B2 |
| Application number | US-202117182495-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 23, 2021 |
| Priority date | Aug 28, 2020 |
| Publication date | Mar 7, 2023 |
| Grant date | Mar 7, 2023 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Systems and methods are described for tailoring shareable content object reference model (SCORM)-compliant content to one or more users. A learning management system (LMS), configured to be SCORM-compliant, initiates shareable content object (SCO) to provide content to users. The LMS implements an instance of application programming interface (API) comprising a plurality of functions to be called by SCO during runtime to access data model elements accessible via LMS. The LMS is configured to support one or more data model elements undefined by SCORM. Further, LMS receives a call to a function of the plurality of functions of the API from SCO to access information about users. The call references a name of a data model element undefined by SCORM. The data model element identifies information about users. The LMS provides information about the users to SCO and the SCO tailors the content to the users based on the information.
Opening claim text (preview).
What is claimed is: 1. A method comprising: establishing, by one or more processors, a shareable content object (SCO) in accordance with a shareable content object reference model (SCORM) to provide content to one or more users; receiving, by the one or more processors, from the SCO a call to a function of an application programming interface (API) to request information about the one or more users, the call referencing a name of a data model element, wherein the data model element identifies the information requested about the one or more users and wherein the data model element is undefined by the SCORM; ignoring, by the one or more processors, an error code with respect to the data model element being undefined by SCORM; and providing, by the one or more processors in response to the call, the information about the one or more users identified by the data model element to the SCO, the SCO tailoring the content to the one or more users based at least on the information. 2. The method of claim 1 , further comprising storing, by the one or more processors, the information about the one or more users with respect to the content. 3. The method of claim 1 , further comprising establishing, by the one or more processors, a learning management system (LMS) configured to be SCORM compliant. 4. The method of claim 3 , further comprising establishing, by the one or more processors, an instance of the API comprising the function to be called by the SCO during runtime to access the data model element via the LMS. 5. The method of claim 3 , further comprising establishing, by the one or more processors, the LMS supporting the data model element undefined by the SCORM. 6. The method of claim 1 , further comprising tailoring, by the SCO, the content based at least on the information about the one or more users. 7. The method of claim 1 , wherein the information about the one or more users comprises theme information and wherein the theme information is used by the SCO to tailor the content for the one or more users. 8. The method of claim 1 , wherein the information about the one or more users comprises training information about the one or more users and wherein the training information is used by the SCO to tailor the content for the one or more users. 9. The method of claim 1 , further comprising serializing, by the one or more processors, the information about the one or more users provided to the SCO in response to the call. 10. The method of claim 1 , wherein the SCO is configured to customize the content provided to the one or more users based at least on the information about the one or more users identified by the data model element. 11. A system comprising: a memory; one or more processors, coupled to the memory and configured to: establish a shareable content object (SCO) in accordance with a shareable content object reference model (SCORM) to provide content to one or more users; receive from the SCO a call to a function of an application programming interface (API) to request information about the one or more users, the call referencing a name of a data model element, wherein the data model element identifies the information requested about the one or more users and wherein the data model element is undefined by the SCORM; ignore an error code with respect to the data model element being undefined by SCORM; and provide, in response to the call, the information about the one or more users identified by the data model element to the SCO, the SCO tailoring the content to the one or more users based at least on the information. 12. The system of claim 11 , wherein the one or more processors are further configured to store information about the one or more users with respect to the content. 13. The system of claim 11 , wherein the one or more processors are further configured to establish a learning management system (LMS) configured to be SCORM compliant. 14. The system of claim 13 , wherein the one or more processors are further configured to establish an instance of the API comprising the function to be called by the SCO during runtime to access the data model element via the LMS. 15. The system of claim 13 , wherein the one or more processors are further configured to establish the LMS to support the data model element undefined by the SCORM. 16. The system of claim 11 , wherein the SCO is further configured to tailor the content based at least on the information about the one or more users. 17. The system of claim 11 , wherein the information about the one or more user comprises theme information and wherein the theme information is used by the SCO to tailor the content for the one or more users. 18. The system of claim 11 , wherein the information about the one or more user comprises training information about the one or more users and wherein the training information is used by the SCO to tailor the content for the one or more users. 19. The system of claim 11 , wherein the one or more processors are further configured to serialize the information provided to the SCO in response to the call. 20. The system of claim 11 , wherein the SCO is configured to customize the content for the one or more users based at least on the information about the one or more users identified by the data model element.
Profile generation, learning or modification · CPC title
via adapters, e.g. between incompatible applications · CPC title
Support for shared access to files; File sharing support · CPC title
service impersonation, e.g. phishing, pharming or web spoofing (detection of rogue wireless access points H04W12/12) · CPC title
Inference or reasoning models · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.