Systems and methods for decreasing latency in data packet provision

• US 20170180504A1
• Filed: 12/22/2015
• Published: 06/22/2017
• Est. Priority Date: 12/22/2015
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: McFall, Gregory Dean, Hong, Yaohang
• Granted Patent: US 10,306,009 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: H04L 47/2475 for supporting traffic characterised by the type of applications
• CPC Class Codes: H04L 47/283 in response to processing delays, e.g. caused by jitter or round trip time [RTT]
• 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 67/5681 Pre-fetching or pre-delivering data based on network characteristics

Abstract

A system and method for decreasing latency in providing a data packet to a user device subsequent to receipt of an electronic signal from the user device are disclosed herein. The system can include memory including: a user profile database; and a content library database. The system can include a user device including: a network interface; and an I/O subsystem. The system can include a content management server. The content management server can: provide a data packet to the user device; request generation of a contingent recommendation; receive the contingent recommendation; receive an electronic signal including a user response; select a next action; and provide the next action to the user device.

Claims

1. A system for decreasing latency in providing a data packet to a user device subsequent to receipt of an electronic signal from the user device, the system comprising:

memory comprising;

a user profile database containing data identifying one or several historic attributes of the user; and

a content library database comprising a plurality of data packets, wherein each of the plurality of data packets comprises a prompt for a user response and response data for evaluation of the user response;

a user device comprising;

a network interface configured to exchange data with a server via a communication network; and

an I/O subsystem configured to convert electrical signals to user interpretable outputs user interface; and

a content management server, wherein the content management server is configured to;

provide a data packet to the user device, wherein the data packet comprises one of the plurality of data packets in the content library database;

request generation of a contingent recommendation, wherein the contingent recommendation comprises a plurality of potential next actions, wherein each of the plurality of potential next actions is based on at least one possible user response to the provided data packet;

receive the contingent recommendation;

receive an electronic signal comprising a user response to the provided data packet from the user device;

select a next action, wherein the next action comprises one of the potential next actions, wherein the next action is selected based on the received user response and the received contingent recommendation; and

provide the next action to the user device.

2. The system of claim 1, wherein the content management server comprises a recommendation engine, a presentation engine, and a response processor.

3. The system of claim 2, wherein the presentation engine is configured to:

receive a request for a data packet from the user device; and

retrieve the data packet from the content item library.

4. The system of claim 3, wherein the presentation engine is further configured to:

identify data components within the data packet, wherein the data components comprise a presentation component for providing to the user device and a response component;

generate a delivery data packet, wherein the delivery data packet does not include the response component; and

provide the delivery data packet to the user device.

5. The system of claim 4, wherein the presentation engine is further configured to provide the response component of the data packet to the response processor.

6. The system of claim 5, wherein the response processor is configured to:

receive the response component of the data packet;

receive a response from the user device; and

determine whether the received response is a desired response by comparing the received response to the received response component of the data packet.

7. The system of claim 6, wherein the recommendation engine is configured to:

receive the request for generation of the contingent recommendation from the presentation engine;

generate the contingent recommendation; and

provide the contingent recommendation to the presentation engine.

8. The system of claim 7, wherein generating the contingent recommendation comprises:

identifying the data packet;

determining potential outcomes for a response to the data packet; and

generating a recommendation for each of the potential outcomes.

9. The system of claim 8, wherein generating the outcome further comprises:

determining the likelihood of each of the potential outcomes;

ranking the potential outcomes based on likelihood; and

generating a recommendation for each of the potential outcomes based on ranking.

10. The system of claim 9, wherein generating a recommendation for each of the potential outcomes based on ranking comprises:

generating contingent user data, wherein the contingent user data is the user data updated according to a selected one of the potential outcomes; and

identifying a contingent next item based on the contingent user data.

11. A method for decreasing system latency, the method comprising:

receiving an electronic signal comprising a user identifier from a user device, wherein the user identifier identifies a user;

retrieving user data associated with the user identifier from a user profile database, wherein the user data comprises data identifying one or several historic attributes of the user;

providing a data packet to the user device, wherein the data packet comprises a request for a user input in response to the data packet;

requesting generation of a contingent recommendation, wherein the contingent recommendation comprises a plurality of potential next actions, wherein each of the plurality of potential next actions is based on at least one possible user response to the provided data packet;

receiving the contingent recommendation;

receiving an electronic signal comprising a user response to the provided data packet from the user device;

selecting a next action, wherein the next action comprises one of the potential next actions, wherein the next action is selected based on the received user response and the received contingent recommendation; and

providing the next action to the user device.

12. The method of claim 11, further comprising:

receiving a request for a data packet from the user device at a presentation engine; and

retrieving the data packet from the content item library.

13. The method of claim 12, further comprising:

identifying data components within the data packet, wherein the data components comprise a presentation component for providing to the user device and a response component;

generating a delivery data packet, wherein the delivery data packet does not include the response component; and

providing the delivery data packet to the user device.

14. The method of claim 13, further comprising receiving the response component of the data packet at a response processor from the presentation engine.

15. The method of claim 14, further comprising:

receiving a response from the user device at the response processor; and

determining with the response processor whether the received response is a desired response by comparing the received response to the received response component of the data packet.

16. The method of claim 15, further comprising:

receiving the request for generation of the contingent recommendation from the presentation engine at a recommendation engine;

generating the contingent recommendation with the recommendation engine; and

providing the contingent recommendation to the presentation engine from the recommendation engine.

17. The method of claim 16, wherein generating the contingent recommendation comprises:

identifying the data packet;

determining potential outcomes for a response to the data packet; and

generating a recommendation for each of the potential outcomes.

18. The method of claim 17, wherein generating the outcome further comprises:

determining the likelihood of each of the potential outcomes;

ranking the potential outcomes based on likelihood; and

generating a recommendation for each of the potential outcomes based on ranking.

19. The method of claim 18, wherein generating a recommendation for each of the potential outcomes based on ranking comprises:

generating contingent user data, wherein the contingent user data is the user data updated according to a selected one of the potential outcomes; and

identifying a contingent next item based on the contingent user data.

providing the next action to the user device.