SYSTEMS AND METHODS OF EVENT-BASED CONTENT PROVISIONING

• US 20170295072A1
• Filed: 08/12/2016
• Published: 10/12/2017
• Est. Priority Date: 04/08/2016
• Status: Active Grant

• Current Assignee: Pearson Education Incorporated (Pearson plc)
• Original Assignee: Pearson Education Incorporated (Pearson plc)
• Inventors: McFall, Greg
• Granted Patent: US 10,043,133 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/322 Trees
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 40/123 Storage facilities
• CPC Class Codes: G06F 40/131 Fragmentation of text files, e.g. creating reusable text-blocks; Linking to fragments, e.g. using XInclude; Namespaces
• CPC Class Codes: G06F 40/211 Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
• CPC Class Codes: G06F 40/216 using statistical methods
• CPC Class Codes: G06F 40/226 Validation
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06F 40/35 Discourse or dialogue representation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06N 5/01 Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/022 : Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 : Inference or reasoning models
• CPC Class Codes: G06N 7/01 : Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 30/02 : Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0224 : based on user history
• CPC Class Codes: G06Q 30/0269 : based on user profile or attribute
• CPC Class Codes: G06Q 50/20 : Education
• 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 7/02 : of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
• CPC Class Codes: H04L 12/407 : with decentralised control
• CPC Class Codes: H04L 12/4641 : Virtual LANs, VLANs, e.g. virtual private networks [VPN] LAN interconnection over a bridge based backbone H04L12/462; encapsulation techniques H04L12/4633; routing of packets H04L45/00; packet switches H04L49/00; virtual private networks for security H04L63/0272
• CPC Class Codes: H04L 41/0806 : for initial configuration or provisioning, e.g. plug-and-play
• CPC Class Codes: H04L 41/142 : using statistical or mathematical methods
• CPC Class Codes: H04L 41/145 : involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/5051 : Service on demand, e.g. definition and deployment of services in real time
• CPC Class Codes: H04L 43/16 : Threshold monitoring
• CPC Class Codes: H04L 45/74591 : using content-addressable memories [CAM]
• CPC Class Codes: H04L 47/10 : Flow control; Congestion control
• CPC Class Codes: H04L 65/1069 : Session establishment or de-establishment
• CPC Class Codes: H04L 67/02 : based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/06 : specially adapted for file transfer, e.g. file transfer protocol [FTP]
• CPC Class Codes: H04L 67/10 : in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1095 : Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/1097 : for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/146 : Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04L 67/52 : specially adapted for the location of the user terminal
• 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 67/567 : Integrating service provisioning from a plurality of service providers
• CPC Class Codes: H04L 67/61 : taking into account QoS or priority requirements
• CPC Class Codes: H04W 88/02 : Terminal devices

Abstract

Systems and methods for automated content selection and/or distribution are disclosed herein. The system can include a packet selection system including a recommendation engine. The recommendation engine can select a next data packet that can include content for delivery to a user device. The system can include a presentation system including a presenter module. The presenter module can receive an indication of the selected next data packet and send the content for delivery to the user device via an electrical communication. The system can include a response system including a response processor. The response processor can receive a response from the user device, and the response processor can determine whether the received response is a desired response. The system can include a summary model system including model engine, and a messaging bus.

Claims

1. A system for adaptive content selection, the system comprising:

a packet selection system comprising a recommendation engine, wherein the recommendation engine is configured to select a next data packet, wherein the next data packet comprises content for delivery to a user device;

a presentation system comprising a presenter module, wherein the presenter module is configured to receive an indication of the selected next data packet and send the content for delivery to the user device via an electrical communication;

a response system comprising a response processor, wherein the response processor is configured to receive a response from the user device, and wherein the response processor is configured to translate the received response into an observable;

a summary model system comprising model engine, wherein the model engine is configured to update one or several models based on the observable generated by the response system; and

a messaging bus, wherein the messaging bus is communicatingly connected with each of the packet selection system, the presentation system, the response system, and the summary model system, and wherein the messaging bus is configured to receive and output information from at least one of the packet selection system, the presentation system, the response system, and the summary model system.

2. The system of claim 1, wherein the messaging bus is configured to generate a plurality of data streams.

10. The system of claim 1, wherein the recommendation engine selects the next data packet based on a plurality of statistical models stored in a database server.

11. The system of claim 10, wherein at least one of the statistical models identifies one of:

a skill level or a discrimination of the next data packet.

12. The system of claim 10, wherein the recommendation engine receives an indication of updated statistical models from the model engine before selecting the next data packet.

13. The system of claim 12, wherein the indication of updated statistical models is received from the messaging bus.

14. The system of claim 13, wherein the indication of updated statistical models is received from the messaging bus in a data stream to which the recommendation engine is a subscriber.

3. The system of claim 3, wherein each of the plurality of data streams comprises an aggregation of data received from at least some of the packet selection system, the presentation system, the response system, and the summary model system.

4. The system of claim 3, wherein the messaging bus comprises a command and control interface.

5. The system of claim 4, wherein the messaging bus further comprises a queue subscription information database.

6. The system of claim 5, wherein the queue subscription information database identifies a plurality of subscribers.

7. The system of claim 6, wherein the queue subscription information database identifies at least one data stream associated with each of the plurality of subscribers.

8. The system of claim 7, at least some of the packet selection system, the presentation system, the response system, and the summary model system comprise subscribers identified in the queue subscription information database.

9. The system of claim 8, wherein the presenter module communicates with a view module located in the user device.

15. A method adaptive content selection, the method comprising:

receiving a response from a user device at a response system comprising a response processor;

determining with the response processor whether the received response comprises a desired response;

updating at least one model based on the determination of whether the received response comprises the desired response with a summary model system comprising a model engine;

selecting a next data packet based on the at least one model with a packet selection system comprising a recommendation engine, wherein the next data packet comprises content for delivery to the user device, wherein the next data packet is selected after the at least one model is updated; and

providing the selected next data packet to a presentation system comprising a presenter module, wherein the presenter module is configured to send the content for delivery to the user device via an electrical communication.

16. The method of claim 15, further comprising sending data identifying the occurrence of an event to a messaging bus.

17. The method of claim 16, wherein each of:

the completion of determining whether the received response comprises the desired response;

the completion of updating at least one model based on the determination of whether the received response comprises the desired response; and

selecting the next data packet comprises an event.

18. The method of claim 16, wherein the messaging bus generates a data stream comprising the data identifying the occurrence of an event.

19. The method of claim 16, wherein the data stream is accessible to a subscriber.

20. The method of claim 19, wherein at least one of:

the packet selection system, the presentation system, the response system, and the summary model system each comprises a subscriber.