Methods for Creating a Recommended Device List from Metrics

• US 20110131224A1
• Filed: 12/02/2009
• Published: 06/02/2011
• Est. Priority Date: 12/02/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bodin, William K., Thorson, Derral C., Jaramillo, David
• Application Number:
  US12/629,792
• Publication Number:
  US 20110131224A1
• Time in Patent Office: Days
• US Class Current: 707/758
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 67/303 Terminal profiles
• CPC Class Codes: H04L 67/306 User profiles

Abstract

An embodiment of the invention provides a method for creating a recommended device list from metrics. Device metrics of a plurality of mobile devices are accumulated, wherein the device metrics include device attributes of the mobile devices. The device attributes include user tags and/or user quality ratings of the mobile devices. A database of the mobile devices is created, wherein the database includes the device attributes. A request for a mobile device is received from a user, wherein the request includes user attributes. The user attributes include job responsibilities, job level, business unit, geographic location, and/or user affiliations. A processor matches the device attributes to the user attributes in order to generate a recommended device list. The recommended device list is sent to the user and/or an interface.

Claims

1. A method, including:

accumulating device metrics of a plurality of mobile devices, the device metrics including device attributes of the mobile devices, the device attributes including at least one of user tags and user quality ratings of the mobile devices;

creating a database of the mobile devices, the database including the accumulated device metrics;

receiving a request for a mobile device from a user, the request including user attributes;

generating a recommended device list with a processor, said generating of the recommended device list including matching the device attributes to the user attributes; and

sending the recommended device list to the user.

2. The method according to claim 1, wherein the device attributes include at least two of media format capabilities, codec types, operating system, Bluetooth capabilities, speakerphone capabilities, processing speed, signal strength, screen size, screen resolution, keyboard features, compatible web applications, compatible mobile applications, business affiliations, business unit affiliations, and cost.

3. The method according to claim 1, wherein the user attributes include at least one of job responsibilities, job level, business unit, geographic location, and user affiliations.

4. The method according to claim 1, wherein said accumulating of the device metrics further includes obtaining device attributes for at least one of a newly available mobile device and a mobile device satisfying a predetermined level of popularity.

5. The method according to claim 1, wherein said matching of the device attributes to the user attributes includes, for each mobile device in the database:

assigning an attribute score to at least one device attribute based on whether the device attribute matches a user attribute; and

assigning a matching score to the mobile device based on the total attribute scores for device attributes, wherein said generating of the recommended device list includes ranking the mobile devices based on the matching score.

6. The method according to claim 5, wherein said generating of the recommended device list includes only listing mobile devices that have a matching score above a predetermined threshold.

7. The method according to claim 1, further including matching the user attributes to service provider attributes to create a recommended service provider list.

8. The method according to claim 7, wherein the service provider attributes include at least one of usage restrictions, coverage area, bundling packages, voicemail capabilities, data capabilities, group rates, and cost.

9. The method according to claim 7, further including sending at least one of the recommended device list and the recommended service provider list to an interface.

10. The method according to claim 1, further including, prior to said sending of the recommended device list, confirming that the device attributes of mobile devices in the recommended device list are correct.

11. A method, including:

accumulating device metrics of a plurality of mobile devices, the device metrics including device attributes of the mobile devices;

creating a database of the mobile devices, the database including the device attributes;

receiving a request for a mobile device from a user, the request including user attributes, the user attributes including job responsibilities;

generating a recommended device list with a processor, said generating of the recommended device list including matching the device attributes to the user attributes; and

sending the recommended device list to the user.

12. The method according to claim 11, wherein the device attributes include at least two of user tags, user quality ratings of the mobile devices, media format capabilities, codec types, operating system, Bluetooth capabilities, speakerphone capabilities, processing speed, signal strength, compatible web applications, compatible mobile applications, business affiliations, business unit affiliations, and cost.

13. The method according to claim 11, wherein the user attributes include at least one of job level, business unit, geographic location, and user affiliations.

14. The method according to claim 11, wherein said accumulating of the device metrics further includes obtaining device attributes for at least one of a newly available mobile device and a mobile device satisfying a predetermined level of popularity.

15. The method according to claim 11, wherein said matching of the device attributes to the user attributes includes, for each mobile device in the database:

assigning an attribute score to at least one device attribute based on whether the device attribute matches at least one user attribute; and

assigning a matching score to the mobile device based on at least one of the total attribute scores for device attributes and the average attribute scores for device attributes, wherein said generating of the recommended device list includes ranking the mobile devices based on the matching score.

16. The method according to claim 15, wherein said assigning of said matching score includes:

assigning device weights to said device attributes; and

assigning user weights to said user attributes.

17. The method according to claim 15, wherein said generating of the recommended device list includes only listing mobile devices that have a matching score above a predetermined threshold.

18. The method according to claim 11, further including matching the user attributes to service provider attributes to create a recommended service provider list.

19. The method according to claim 18, further including sending at least one of the recommended device list and the recommended service provider list to an interface.

20. The method according to claim 11, further including, prior to said sending of the recommended device list, confirming that the device attributes of mobile devices in the recommended device list are correct.

21. A system, including:

a monitoring module for accumulating device metrics of a plurality of mobile devices, the device metrics including device attributes of the mobile devices, the device attributes including at least one of user tags and user quality ratings of the mobile devices;

a database of the mobile devices, the database including the device attributes, the database in communication with said monitoring module;

a communication module for receiving a request for a mobile device from a user, the request including user attributes; and

a processor for matching the device attributes to the user attributes to generate a recommended device list, the recommended device list being sent to the user with the communication module.

22. The system according to claim 21, wherein the device attributes include at least two of media format capabilities, codec types, operating system, Bluetooth capabilities, speakerphone capabilities, processing speed, signal strength, screen size, screen resolution, keyboard features, compatible web applications, compatible mobile applications, business affiliations, business unit affiliations, and cost, and

wherein the user attributes include at least one of job responsibilities, job level, business unit, geographic location, and user affiliations.

23. The system according to claim 21, wherein for each mobile device in the database, said processor:

assigns an attribute score to at least one device attribute based on whether the device attribute matches a user attribute; and

assigns a matching score to the mobile device based on the total attribute scores for device attributes, wherein the recommended device list is generated by ranking the mobile devices based on the matching score.

24. A system, including:

means for accumulating device metrics of a plurality of mobile devices, the device metrics including device attributes of the mobile devices, the device attributes including at least one of user tags and user quality ratings of the mobile devices;

means for storing a list of the mobile devices, said means for storing including the device attributes;

means for receiving a request for a mobile device from a user, the request including user attributes;

means for matching the device attributes to the user attributes to generate a recommended device list; and

means for sending the recommended device list to the user.

25. A computer program product, including:

a computer readable storage medium;

first program instructions to accumulate device metrics of a plurality of mobile devices, the device metrics including device attributes of the mobile devices, the device attributes including at least one of user tags and user quality ratings of the mobile devices;

second program instructions to create a database of the mobile devices, the database including the device attributes;

third program instructions to receive a request for a mobile device from a user, the request including user attributes;

fourth program instructions to generate a recommended device list with a processor, said generating of the recommended device list including matching the device attributes to the user attributes; and

fifth program instructions to send the recommended device list to the user,

wherein the first program instructions, the second program instructions, the third program instructions, the fourth program instructions, and the fifth program instructions are stored on the computer readable storage medium.