Device compatibility management

• US 10,331,786 B2
• Filed: 08/19/2013
• Issued: 06/25/2019
• Est. Priority Date: 08/19/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Ganesh, Jaikumar
• Primary Examiner(s): Dinh, Khanh Q
• Application Number:
  US13/969,662
• Publication Number:
  US 20150052238A1
• Time in Patent Office: 2,136 Days
• Field of Search: 709203, 709220, 709224, 709229, 709227
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]

Abstract

Methods and systems for automatically providing a notification of an operational problem between two devices are provided. The method may include searching online content for user feedback comments associated with a first device and a second device. Sentiment analysis may be performed for the user feedback comments and an operational problem that occurs between the first device and the second device may be identified based on the sentiment analysis. Next, a notification of the operational problem may be provided. Additionally, a probable cause associated with the operational problem may be identified and a suggested solution based on the identified probable cause may be provided. The suggested solution may correct the operational problem between the first device and the second device.

Claims

1. A method comprising:

searching online content for a plurality of user comments associated with both a first device and a second device and related to compatibility between the first device and the second device;

performing sentiment analysis for each respective user comment from among the plurality of user comments, wherein the sentiment analysis includes parsing text in the respective user comment and determining whether the respective user comment has a positive connotation or a negative connotation based on text analytics, wherein the text analytics comprises extracting, from the text of the respective user comment, subjective information that indicates an emotional state of an author of the respective user comment;

identifying an operational problem that occurs between the first device and the second device based on determining a negative connotation in the sentiment analysis;

identifying at least one probable cause associated with the operational problem; and

providing (i) a notification of the operational problem and (ii) at least one suggested solution to the operational problem based on the at least one probable cause associated with the operational problem.

2. The method of claim 1, wherein the suggested solution corrects the operational problem between the first device and the second device.

3. The method of claim 1, wherein the second device is selected from the group consisting of a mobile device, smartphone, laptop, tablet, PC, wearable computer, appliance, and any other device capable of connecting to the first device.

4. The method of claim 1, wherein the second device is connected to the first device based on a connection selected from the group consisting of:

a wire, near field communications, Bluetooth, Bluetooth LE, infrared, and other wireless connection protocol.

5. The method of claim 1, wherein the notification of the operational problem is provided to at least one selected from the group consisting of:

a user, a first device manufacturer, and a second device manufacturer.

6. The method of claim 1, wherein the operational problem is at least one selected from the group consisting of:

an audio problem, a connection problem, a communication problem, a syncing problem, and a recognition problem.

7. The method of claim 1, wherein the at least one probable cause is at least one selected from the group consisting of:

a hardware issue and a software issue.

8. The method of claim 1, wherein the suggested solution is at least one selected from the group consisting of:

a hardware solution, a software solution, a first device setting solution, and a second device setting solution.

9. The method of claim 1, wherein the at least one probable cause is a hardware issue and the at least one suggested solution is a software solution.

10. The method of claim 1, further comprising deploying the suggested solution correcting the operational problem between the first device and the second device and determining that the operational problem has been corrected based on sentiment analysis of a plurality of additional user comments.

11. The method of claim 1, wherein the operational problem is a compatibility issue that occurs between the first device and the second device.

12. The method of claim 1, wherein the online content includes one or more selected from the group consisting of:

a website, a social media platform, a blog, a user review forum, and any other online content that can be searched for the plurality of user comments.

13. A system comprising:

a processor configured to;

search online content for a plurality of user comments associated with both a first device and a second device and related to compatibility between the first device and the second device;

perform sentiment analysis for each respective user comment from among the plurality of user comments, wherein the sentiment analysis includes parsing text in the respective user comment and determining whether the respective user comment has a positive connotation or a negative connotation based on text analytics, wherein the text analytics comprises extracting, from the text of the respective user comment, subjective information that indicates an emotional state of an author of the respective user comment;

identify an operational problem that occurs between the first device and the second device based on determining a negative connotation in the sentiment analysis;

identify at least one probable cause associated with the operational problem; and

provide (i) a notification of the operational problem and (ii) at least one suggested solution to the operational problem based on the at least one probable cause associated with the operational problem.

14. The system of claim 13, wherein the suggested solution corrects the operational problem between the first device and the second device.

15. The system of claim 13, wherein the second device is selected from the group consisting of a mobile device, smartphone, laptop, tablet, PC, wearable computer, appliance, and any other device capable of connecting to the first device.

16. The system of claim 13, wherein the second device is connected to the first device based on a connection selected from the group consisting of:

a wire, near field communications, Bluetooth, Bluetooth LE, infrared, and other wireless connection protocol.

17. The system of claim 13, wherein the notification of the operational problem is provided to at least one selected from the group consisting of:

a user, a first device manufacturer, and a second device manufacturer.

18. The system of claim 13, wherein the operational problem is at least one selected from the group consisting of:

an audio problem, a connection problem, a communication problem, a syncing problem, and a recognition problem.

19. The system of claim 13, wherein the at least one probable cause is at least one selected from the group consisting of:

a hardware issue and a software issue.

20. The system of claim 13, wherein the suggested solution is at least one selected from the group consisting of:

a hardware solution, a software solution, a first device setting solution, and a second device setting solution.

21. The system of claim 13, wherein the processor is further configured to deploy the suggested solution correcting the operational problem between the first device and the second device and determine that the operational problem has been corrected based on sentiment analysis of a plurality of additional user comments.

22. The system of claim 13, wherein the at least one probable cause is a hardware issue and the at least one suggested solution is a software solution.

23. The system of claim 13, wherein the operational problem is a compatibility issue that occurs between the first device and the second device.

24. The system of claim 13, wherein the online content includes one or more selected from the group consisting of:

a website, a social media platform, a blog, a user review forum, and any other online content that can be searched for the plurality of user comments.

25. A non-transitory computer readable medium storing a plurality of instructions that cause a processor to:

search online content for a plurality of user comments associated with both a first device and a second device and related to compatibility between the first device and the second device;

perform sentiment analysis for each respective user comment from among the plurality of user comments, wherein the sentiment analysis includes parsing text in the respective user comment and determining whether the respective user comment has a positive connotation or a negative connotation based on text analytics, wherein the text analytics comprises extracting, from the text of the respective user comment, subjective information that indicates an emotional state of an author of the respective user comment;

identify an operational problem that occurs between the first device and the second device based on determining a negative connotation in the sentiment analysis;

identify at least one probable cause associated with the operational problem; and

provide (i) a notification of the operational problem and (ii) at least one suggested solution to the operational problem based on the at least one probable cause associated with the operational problem.

26. The computer readable medium of claim 25, wherein the suggested solution corrects the operational problem between the first device and the second device.

27. The computer readable medium of claim 25, wherein the second device is selected from the group consisting of a mobile device, smartphone, laptop, tablet, PC, wearable computer, appliance, and any other device capable of connecting to the first device.

28. The computer readable medium of claim 25, wherein the second device is connected to the first device based on a connection selected from the group consisting of:

a wire, near field communications, Bluetooth, Bluetooth LE, infrared, and other wireless connection protocol.

29. The computer readable medium of claim 25, wherein the notification of the operational problem is provided to at least one selected from the group consisting of:

a user, a first device manufacturer, and a second device manufacturer.

30. The computer readable medium of claim 25, wherein the operational problem is at least one selected from the group consisting of:

an audio problem, a connection problem, a communication problem, a syncing problem, and a recognition problem.

31. The computer readable medium of claim 25, wherein the at least one probable cause is at least one selected from the group consisting of:

a hardware issue and a software issue.

32. The computer readable medium of claim 25, wherein the suggested solution is at least one selected from the group consisting of:

a hardware solution, a software solution, a first device setting solution, and a second device setting solution.

33. The computer readable medium of claim 25, wherein the at least one probable cause is a hardware issue and the at least one suggested solution is a software solution.

34. The computer readable medium of claim 25, wherein the online content includes one or more selected from the group consisting of:

a website, a social media platform, a blog, a user review forum, and any other online content that can be searched for the plurality of user comments.

35. The computer readable medium of claim 25, wherein the plurality of instructions further cause the processor to deploy the suggested solution correcting the operational problem between the first device and the second device and determine that the operational problem has been corrected based on sentiment analysis of a plurality of additional user comments.