System and method for automatically updating data packet metadata

• US 10,116,563 B1
• Filed: 11/23/2016
• Issued: 10/30/2018
• Est. Priority Date: 10/30/2014
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: Anderson, Jacob, Rho, Yun Jin
• Primary Examiner(s): Moutaouakil, Mounir
• Application Number:
  US15/360,657
• Time in Patent Office: 706 Days
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G09B 5/06 with both visual and audible presentation of the material to be studied
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context

Abstract

Systems and methods for accelerated stabilization of data packet metadata are disclosed herein. The system can include a memory having a content database and a user profile database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include one or more servers. The one or more servers can: retrieve data packet metadata for a data packet; determine that the data packet metadata is unstable; identify a set of potential recipients of the data packet; select one of the set of potential recipients as the recipient of the data packet; provide the data packet to the recipient of the data packet; receive a response from the recipient to the provided data packet; and automatically update the data packet metadata based on the response received from the recipient.

Claims

1. A system for content provisioning via the automatic determination of a content attribute, the system comprising:

memory comprising;

a content database comprising a plurality of data packets and metadata identifying an attribute of an associated data packet, wherein each of the plurality of data packets is associated with unique metadata;

a user profile database comprising user history data identifying an attribute of an associated user, wherein each user is associated with unique user history data;

a user device comprising;

a first network interface configured to exchange data via a communication network; and

a first I/O subsystem configured to convert received digital communication to user interpretable outputs via a user interface; and

one or more servers communicatingly coupled with the memory and the user device, wherein the server is configured to;

receive a response from a user via a user device, wherein the response is to a previously provided data packet;

identify the previously provided data packet;

retrieve data packet metadata, wherein the packet metadata comprises at least one attribute value identifying an attribute of the data packet, wherein the data packet metadata comprises a model based on a Gaussian distribution, wherein the Gaussian distribution is defined in part by an error value corresponding to a width of the Gaussian distribution;

translate the received response into an observable;

update the data packet metadata based on the observable; and

provide the data packet to another user based on the updated data packet metadata.

2. The system of claim 1, wherein the model is a model of the difficulty level of the data packet.

3. The system of claim 1, wherein the Gaussian distribution comprises a piecewise Gaussian distribution.

4. The system of claim 1, wherein the mode of the Gaussian distribution corresponds to a difficulty level of the data packet.

5. The system of claim 1, wherein updating the update the data packet metadata based on the observable comprises updating the Gaussian distribution.

6. The system of claim 5, wherein updating the Gaussian distribution comprises updating the mode of the Gaussian distribution and the error value of the Gaussian distribution.

7. The system of claim 6, wherein the update of the Gaussian distribution varies based on whether the received response is a desired response or an undesired response.

8. The system of claim 7, wherein providing the received data packet to the user device based on the updated data packet metadata of the received data packet comprises selecting a recipient of the received data packet.

9. The system of claim 8, wherein the recipient of the received data packet is selected based on a comparison of the data packet metadata and user metadata associated with the recipient.

11. The method of claim 9, wherein the data packet metadata comprises a model of the difficulty level of the data packet.

12. The method of claim 11, wherein the mode of the Gaussian distribution corresponds to a difficulty level of the data packet.

13. The method of claim 12, wherein the Gaussian distribution comprises a piecewise Gaussian distribution.

10. A method for automatically updating data packet metadata comprising:

receiving a response from a user via a user device, wherein the response is to a previously provided data packet;

identifying the previously provided data packet;

retrieving data packet metadata, wherein the packet metadata comprises at least one attribute value identifying an attribute of the data packet, wherein the data packet metadata comprises a model based on a Gaussian distribution, wherein the Gaussian distribution is defined in part by an error value corresponding to a width of the Gaussian distribution;

translating the received response into an observable;

updating the data packet metadata based on the observable; and

providing the data packet to another user based on the updated data packet metadata.

14. The method of claim 10, wherein updating the update the data packet metadata based on the observable comprises updating the Gaussian distribution.

15. The method of claim 14, wherein updating the Gaussian distribution comprises updating the mode of the Gaussian distribution and the error value of the Gaussian distribution.

16. The method of claim 15, wherein the update of the Gaussian distribution varies based on whether the received response is a desired response or an undesired response.

17. The method of claim 16, wherein providing the received data packet to the user device based on the updated data packet metadata of the received data packet comprises selecting a recipient of the received data packet, and wherein the recipient of the received data packet is selected based on a comparison of the data packet metadata and user metadata associated with the recipient.