Network device predictive modeling

• US 9,299,029 B1
• Filed: 03/25/2015
• Issued: 03/29/2016
• Est. Priority Date: 12/10/2014
• Status: Active Grant

• Current Assignee: Belkin International Incorporated (Hon Hai Precision Industry Co., Ltd.)
• Original Assignee: Belkin International Incorporated (Hon Hai Precision Industry Co., Ltd.)
• Inventors: Kim, Ryan Yong
• Primary Examiner(s): Chaki, Kakali
• Assistant Examiner(s): Zidanic, Michael
• Application Number:
  US14/668,828
• Time in Patent Office: 370 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: H04L 43/16 Threshold monitoring
• 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

Abstract

Techniques and systems are provided for predictive modeling based on interactions with a network device. For example, a method may include receiving interaction data corresponding to a set of interactions associated with a function performed by a network device. Contextual data corresponding to a set of contexts can be received from a different source. The interaction and contextual data can be analyzed to identify a correlation between a context and an interaction. A prediction can be generated using the identified correlation. Interaction data corresponding to a new set of interactions and contextual data corresponding to a new set of contexts including the correlated context can be received. The prediction can be tested to determine whether the network device performed the function when the correlated context occurred. Contextual data corresponding to a present set of contexts including the correlated context can be received, and an automation request message can be transmitted.

Claims

1. A computer-implemented method, comprising:

receiving, at a computing device, interaction data corresponding to a set of interactions, wherein the interactions are associated with functions performed by a network device;

receiving contextual data corresponding to a set of contexts, wherein the contextual data is received from a source other than the source of the interaction data;

analyzing the received interaction data and contextual data, wherein analyzing includes identifying a correlation between a context in the received contextual data and an interaction associated with a function performed by the network device;

generating a prediction using the identified correlation;

receiving interaction data corresponding to a new set of interactions, wherein the interaction data corresponding to the new set of interactions is received after the prediction is generated;

receiving contextual data corresponding to a new set of contexts, wherein the new set of contexts includes the context correlated with the interaction associated with the function performed by the network device;

testing the prediction, wherein testing includes determining whether the network device performed the function when the correlated context occurred;

receiving contextual data corresponding to a present set of contexts, wherein the present set of contexts includes the context correlated with the interaction associated with the function performed by the network device, and wherein the contextual data corresponding to the present set of contexts is received after the prediction is tested; and

transmitting a message, wherein the message includes an automation request corresponding to the function performed by the network device.

2. The computer-implemented method of claim 1, further comprising:

initiating a plurality of operational modes sequentially at the computing device.

3. The computer-implemented method of claim 1, further comprising:

initiating a predictive operational mode, wherein the analysis of the received interaction data and contextual data occurs while the computing device is in the predictive operational mode.

4. The computer-implemented method of claim 1, further comprising:

initiating a recommendation operational mode, wherein the message including the automation request is transmitted while the computing device is in the recommendation operational mode.

5. The computer-implemented method of claim 1, further comprising:

initiating an automation operational mode, wherein the automation operational mode causes the function to be performed automatically by the network device when the correlated context occurs.

6. The computer-implemented method of claim 1, wherein the computing device is the network device, a user device, or a cloud-based device.

7. The computer-implemented method of claim 1, wherein the automation request includes a request to automate the function performed by the network device.

8. The computer-implemented method of claim 1, further comprising:

detecting input corresponding to an authorization to automate the function performed by the network device.

9. The computer-implemented method of claim 1, wherein the message indicates that the function will be automated unless input is detected.

10. The computer-implemented method of claim 1, wherein contextual data includes interactions associated with functions performed by other network devices.

11. A system, comprising:

one or more data processors; and

a non-transitory computer-readable storage medium containing instructions which when executed on the one or more data processors, cause the one or more data processors to perform operations including;

receiving interaction data corresponding to a set of interactions, wherein the interactions are associated with functions performed by a network device;

receiving contextual data corresponding to a set of contexts, wherein the contextual data is received from a source other than the source of the interaction data;

analyzing the received interaction data and contextual data, wherein analyzing includes identifying a correlation between a context in the received contextual data and an interaction associated with a function performed by the network device;

generating a prediction using the identified correlation;

receiving interaction data corresponding to a new set of interactions, wherein the interaction data corresponding to the new set of interactions is received after the prediction is generated;

receiving contextual data corresponding to a new set of contexts, wherein the new set of contexts includes the context correlated with the interaction associated with the function performed by the network device;

testing the prediction, wherein testing includes determining whether the network device performed the function when the correlated context occurred;

receiving contextual data corresponding to a present set of contexts, wherein the present set of contexts includes the context correlated with the interaction associated with the function performed by the network device, and wherein the contextual data corresponding to the present set of contexts is received after the prediction is tested; and

transmitting a message, wherein the message includes an automation request corresponding to the function performed by the network device.

12. The system of claim 11, wherein the operations further include:

initiating a plurality of operational modes sequentially at the computing device.

13. The system of claim 11, wherein the operations further include:

initiating a predictive operational mode, wherein the analysis of the received interaction data and contextual data occurs while the computing device is in the predictive operational mode.

14. The system of claim 11, wherein the operations further include:

initiating a recommendation operational mode, wherein the message including the automation request is transmitted while the computing device is in the recommendation operational mode.

15. The system of claim 11, wherein the operations further include:

initiating an automation operational mode, wherein the automation operational mode causes the function to be performed automatically by the network device when the correlated context occurs.

16. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause a data processing apparatus to:

receive interaction data corresponding to a set of interactions, wherein the interactions are associated with functions performed by a network device;

receive contextual data corresponding to a set of contexts, wherein the contextual data is received from a source other than the source of the interaction data;

analyze the received interaction data and contextual data, wherein analyzing includes identifying a correlation between a context in the received contextual data and an interaction associated with a function performed by the network device;

generate a prediction using the identified correlation;

receive interaction data corresponding to a new set of interactions, wherein the interaction data corresponding to the new set of interactions is received after the prediction is generated;

receive contextual data corresponding to a new set of contexts, wherein the new set of contexts includes the context correlated with the interaction associated with the function performed by the network device;

test the prediction, wherein testing includes determining whether the network device performed the function when the correlated context occurred;

receive contextual data corresponding to a present set of contexts, wherein the present set of contexts includes the context correlated with the interaction associated with the function performed by the network device, and wherein the contextual data corresponding to the present set of contexts is received after the prediction is tested; and

transmit a message, wherein the message includes an automation request corresponding to the function performed by the network device.

17. The computer-program product of claim 16, wherein the automation request includes a request to automate the function performed by the network device.

18. The computer-program product of claim 16, wherein the instructions are further configured to cause the data processing apparatus to:

detect input corresponding to an authorization to automate the function performed by the network device.

19. The computer-program product of claim 16, wherein the message indicates that the function will be automated unless input is detected.

20. The computer-program product of claim 16, wherein contextual data includes interactions associated with functions performed by other network devices.