Recommendations based on device usage

• US 9,536,199 B1
• Filed: 06/09/2014
• Issued: 01/03/2017
• Est. Priority Date: 06/09/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Procopio, Michael Jeffrey, Rose, Robert Brett
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US14/299,283
• Time in Patent Office: 939 Days
• Field of Search: 706/46
• US Class Current: 1/1
• CPC Class Codes: G06F 9/46 Multiprogramming arrangements
• CPC Class Codes: G06F 9/5016 the resource being the memory
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

A method includes receiving, at a storage device, a plurality of data files that each have a file size, and are each associated a respective device that corresponds to one of a plurality of device types and defining device type pairs each including a first device and a second device having different device types. The method also includes determining, by one or more computing devices and for each device type pair, an engagement score based at least in part on the file sizes for the data files associated with the first device and the second device, wherein the engagement score represents a degree of usage of the first device concurrent with usage of the second device, and generating, by the one or more computing devices.

Claims

1. A method, comprising:

receiving, at a storage device, a plurality of data files that each have a file size and that each are associated with a respective device that corresponds to one of a plurality of device types;

defining device type pairs that each include a first device and a second device used concurrently by a respective user, the first device and the second device having different ones of the plurality of device types;

determining, by one or more computing devices and for each device type pair, an engagement score based at least in part on the file sizes for the data files associated with the first device and the second device, wherein the engagement score represents a degree of usage of the first device concurrent with usage of the second device by the respective user; and

generating, by the one or more computing devices, a recommendation message based on the engagement scores for one or more of the device type pairs.

2. The method of claim 1, wherein determining the engagement score is based in part on a sharing factor that represents a degree to which the data files associated with at least one of the first device or the second device are shared with other parties.

3. The method of claim 2, wherein the sharing factor is based at least in part on a number of the other parties with whom the data files are shared.

4. The method of claim 1, wherein the data files are each generated by the respective device.

5. The method of claim 1, wherein the storage device is part of a remotely accessible server-based storage system.

6. The method of claim 5, wherein the respective user is associated with a respective user account at the remotely accessible server-based storage system.

7. A non-transitory computer-readable storage device including program instructions executable by one or more processors that, when executed, cause the one or more processors to perform operations, the operations comprising:

receiving, at a storage device, a plurality of data files that each have a file size and that each are associated with a respective device that corresponds to one of a plurality of device types;

defining device type pairs that each include a first device and a second device used concurrently by a respective user, the first device and the second device having different ones of the plurality of device types;

determining, for each device type pair, an engagement score based at least in part on the file sizes for the data files associated with the first device and the second device, wherein the engagement score represents a degree of usage of the first device concurrent with usage of the second device by the respective user; and

generating a recommendation message based on the engagement scores for one or more of the device type pairs.

8. The non-transitory computer-readable storage device of claim 7, wherein determining the engagement score is based in part on a sharing factor that represents a degree to which the data files associated with at least one of the first device or the second device are shared with other parties.

9. The non-transitory computer-readable storage device of claim 8, wherein the sharing factor is based at least in part on a number of the other parties with whom the data files are shared.

10. The non-transitory computer-readable storage device of claim 7, wherein the data files are each generated by the respective device.

11. The non-transitory computer-readable storage device of claim 7, wherein the storage device is part of a remotely accessible server-based storage system.

12. The non-transitory computer-readable storage device of claim 11, wherein the respective user is associated with a respective user account at the remotely accessible server-based storage system.

13. An apparatus, comprising:

one or more processors; and

one or more memory devices for storing program instructions used by the one or more processors, wherein the program instructions, when executed by the one or more processors, cause the one or more processors to;

receive, at a storage device, a plurality of data files that each have a file size and that each are associated with a respective device that corresponds to one of a plurality of device types,

define device type pairs that each include a first device and a second device used concurrently by a respective user, the first device and the second device having different ones of the plurality of device types,

determine, for each device type pair, an engagement score based at least in part on the file sizes for the data files associated with the first device and the second device, wherein the engagement score represents a degree of usage of the first device concurrent with usage of the second device by the respective user, and

generate a recommendation message based on the engagement scores for one or more of the device type pairs.

14. The apparatus of claim 13, wherein the program instructions further cause the one or more processors to determine the engagement score based in part on a sharing factor that represents a degree to which the data files associated with at least one of the first device or the second device are shared with other parties.

15. The apparatus of claim 14, wherein the sharing factor is based at least in part on a number of the other parties with whom the data files are shared.

16. The apparatus of claim 13, wherein the data files are each generated by the respective device.

17. The apparatus of claim 13, wherein the storage device is part of a remotely accessible server-based storage system.

18. The apparatus of claim 17, wherein the respective user is associated with a respective user account at the remotely accessible server-based storage system.