SYSTEM AND METHOD FOR INCREASING DATA TRANSMISSION RATES THROUGH A CONTENT DISTRIBUTION NETWORK

• US 20160127248A1
• Filed: 10/29/2015
• Published: 05/05/2016
• Est. Priority Date: 10/30/2014
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: Gonzlez Brenes, Jos Pablo
• Granted Patent: US 10,218,630 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 increasing data transmission rates through a content distribution network by generating a customized aggregation comprising data packets selected to maximize a data acceptance rate, 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; 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 a plurality of assessment data packets;

receive data packet data from the content library database;

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

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

generate combined aggregation data characterizing the aggregation as a whole;

generate an updated aggregation by removing at least one data packet from the aggregation; and

provide the updated aggregation to the users in the sub-cohort.

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

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

4. The system of claim 1, wherein the server is further configured to generate sub-cohort data, wherein the sub-cohort data can be generated for each of the sub-cohorts from data of users in that sub-cohort.

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

6. The system of claim 5, wherein the server is further configured to identify the at least one data packet for removal by determining a difference between the aggregation data to the sub-cohort data, and comparing the difference to a threshold.

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

8. The system of claim 7, wherein the at least one new data packet is selected for inclusion in the aggregation based on a degree of in minimizing the difference between the aggregation data and the sub-cohort data.

9. The system of claim 7, wherein the at least one new data packet is selected for inclusion in the aggregation based on a degree of optimizing the difference between the aggregation data and the sub-cohort data.

10. The system of claim 4, wherein the combined aggregation data identifies a difficulty.

11. A method 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, the method comprising:

receiving aggregation information identifying a plurality of delivery data packets and a plurality of assessment data packets, 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 packet data from the content library database, wherein the data packet data identifies one or several attributes of the delivery data packets and the assessment data packets in the aggregation information;

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

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

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

generating with the server an updated aggregation by removing at least one data packet from the aggregation, wherein the aggregation is updated to increase a data acceptance rate; and

providing with the server the updated aggregation to the users in the sub-cohort via a plurality of user devices connected to the server by a communication network.

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

13. The method of claim 11, further comprising generating sub-cohort data, wherein the sub-cohort data can be generated for each of the sub-cohorts from data of users in that sub-cohort.

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

15. The method of claim 14, further comprising identifying the at least one data packet for removal by determining a difference between the aggregation data to the sub-cohort data, and comparing the difference to a threshold.

16. The method of claim 15, wherein generating an updated aggregation further comprises including at least one new data packet in the aggregation.

17. The method of claim 16, wherein the at least one new data packet is selected for inclusion in the aggregation based on a degree of in minimizing the difference between the aggregation data and the sub-cohort data.

18. The method of claim 16, wherein the at least one new data packet is selected for inclusion in the aggregation based on a degree of optimizing the difference between the aggregation data and the sub-cohort data.

19. The method of claim 13, wherein the combined aggregation data identifies a difficulty.