System and method for increasing data transmission rates through a content distribution network

• US 10,218,630 B2
• Filed: 10/29/2015
• Issued: 02/26/2019
• Est. Priority Date: 10/30/2014
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: Gonzalez Brenes, Jose Pablo
• Primary Examiner(s): Lam, Yee F
• Application Number:
  US14/927,115
• Publication Number:
  US 20160127248A1
• Time in Patent Office: 1,216 Days
• CPC Class Codes: H04L 47/365 Dynamic adaptation of the packet size
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/566 Grouping or aggregating service requests, e.g. for unified processing

Abstract

Systems and methods for increasing data transmission rates through a content distribution network by generating a customized aggregation comprising data packets selected to maximize a data acceptance rate are disclosed herein. The system can include a memory having a content library database storing a plurality of data packets and a user profile database. The system can further include a server that can receive aggregation information identifying a plurality of delivery data packets and a plurality of assessment data packets, receive data packet data from the content library database, and generate an updated aggregation by removing at least one data packet from the aggregation.

Claims

1. A system for generating an updated assignment, the system comprising:

a memory comprising;

a content library database comprising a plurality of data packets, wherein the plurality of data packets comprise a plurality of delivery data packets and a plurality of assessment data packets, the assessment data packets including one or more questions; and

a user profile database, wherein the user profile database includes information identifying a cohort of users, and wherein the user profile database includes information identifying plurality of at least one attribute of each of the users in the cohort of users;

a server configured to;

receive aggregation information identifying a plurality of delivery data packets and one or more of the plurality of assessment data packets including the one or more questions;

receive data of the plurality of data packets from the content library database;

identify a recipient cohort, wherein the recipient cohort comprises a group of users of the cohort of users designated to receive the assignment via a plurality of user devices;

generate a plurality of sub-cohorts by dividing the recipient cohort into smaller groups of users, wherein the users in each of the sub-cohorts share a common attribute;

generate sub-cohort data identifying a first data acceptance rate, wherein the sub-cohort data can be generated for each of the sub-cohorts from data of users in that sub-cohort;

generate combined aggregation data characterizing the aggregation as a whole;

generate the updated assignment by removing at least one question from the assignment to match a difficulty of the assignment to a skill level of the recipient cohort; and

provide the updated assignment to the users in one or more of the sub-cohorts.

2. The system of claim 1, wherein the data of the plurality of data packets comprises data packet user data and data packet metadata.

3. The system of claim 1, further comprising the plurality of user devices connected to the server via a communication network.

4. The system of claim 1, wherein the combined aggregation data identifies a second data acceptance rate.

5. The system of claim 4, wherein the server is further configured to identify the at least one data packet for removal by determining a difference between the second data acceptance rate to the first data acceptance rate to the, and comparing the difference to a threshold.

6. The system of claim 5, wherein generating the updated assignment further comprises including at least one new data packet in the assignment.

7. The system of claim 6, wherein the at least one new data packet is selected for inclusion in the updated assignment based on a degree of in minimizing the difference between the second data acceptance rate and the first data acceptance rate.

8. The system of claim 6, wherein the at least one new data packet is selected for inclusion in the updated assignment based on a degree of optimizing the difference between the second data acceptance rate and the first data acceptance rate.

9. The system of claim 5, wherein the server is further configured to rank the one or more questions based on degree to which the one or more questions contribute to the difference between the second data acceptance rate to the first data acceptance rate and remove the at least one question contributing the most to the difference.

10. The system of claim 1, wherein the combined aggregation data identifies a difficulty.

11. A method for generating an updated assignment, the method comprising:

receiving an assignment identifying a plurality of delivery data packets and a plurality of assessment data packets, wherein the plurality of assessment data packets includes at least one question, and wherein the plurality of delivery data packets and the plurality of assessment data packets are stored in a content library database;

receiving with a server data of the plurality of delivery and assessment data packets from the content library database, wherein the data identifies one or several attributes of the delivery data packets and the assessment data packets in the assignment;

identifying with the server a recipient cohort, wherein the recipient cohort comprises a group of users designated to receive the assignment via a plurality of user devices;

generating with the server a plurality of sub-cohorts by dividing the recipient cohort into smaller groups of users, wherein the users in each of the sub-cohorts share a common attribute;

generating sub-cohort data identifying a first data acceptance rate, wherein the sub-cohort data can be generated for each of the sub-cohorts from data of users in that sub-cohort;

generating with the server combined assignment data characterizing the aggregation as a whole;

generating with the server the updated assignment by removing at least one question from the assignment to match a difficulty of the assignment to a skill level of the recipient cohort; and

providing with the server the updated assignment to the users in one or more of the sub-cohorts via the plurality of user devices connected to the server by a communication network.

12. The method of claim 11, wherein the data comprises data packet user data and data packet metadata.

13. The method of claim 11, wherein the combined aggregation data identifies a second data acceptance rate.

14. The method of claim 13, further comprising identifying the at least one data packet for removal by determining a difference between the second data acceptance rate to the first data acceptance rate, and comparing the difference to a threshold.

15. The method of claim 14, wherein generating the updated assignment further comprises including at least one new data packer in the assignment.

16. The method of claim 15, wherein the at least one new data packet is selected for inclusion in the updated assignment based on a degree of minimizing the difference between the second data acceptance rate and the first data acceptance rate.

17. The method of claim 15, wherein the at least one new data packet is selected for inclusion in the updated assignment based on a degree of optimizing the difference between the second data acceptance rate and the first data acceptance rate.

18. The method of claim 14, further comprising ranking questions of the at least one question based on degree to which the questions contribute to the difference between the second data acceptance rate to the first data acceptance rate and removing the at least one question contributing the most to the difference.

19. The method of claim 11, wherein the combined assignment data identifies a difficulty.