Techniques for populating a content stream on a mobile device

• US 9,877,156 B2
• Filed: 01/14/2015
• Issued: 01/23/2018
• Est. Priority Date: 12/27/2013
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Sayed, Sameer
• Primary Examiner(s): Tran, Jimmy H
• Application Number:
  US14/597,139
• Publication Number:
  US 20150189069A1
• Time in Patent Office: 1,105 Days
• 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 67/5681 Pre-fetching or pre-delivering data based on network characteristics
• CPC Class Codes: H04L 9/0872 using geo-location information, e.g. location data, time, relative position or proximity to other entities
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04M 1/72457 according to geographic location
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Techniques for populating a content stream of a mobile application are described. Consistent with some embodiments, the delays associated with waiting for a server to respond to a user'"'"'s manual request for content items are eliminated by using various sensors of a mobile computing device to predict when a user is likely to view a personalized content stream. Accordingly, a background process identifies when certain conditions are satisfied, and an automatic content request is communicated to a content server, such that content items for presentation to a member of a social networking service are pre-fetched.

Claims

1. A method comprising:

processing information generated by one or more sensors of a mobile computing device to derive an activity status identifier, the activity status identifier identifying one or more of a plurality of possible physical activity states of a user of the mobile computing device;

determining that the activity status identifier satisfies a predefined condition, the determining including determining that a predetermined pattern of changes in the activity status identifier has occurred, the predetermined pattern of changes in the activity status identifier having been previously observed to have a co-occurrence with content requests for content items to be refreshed in a content feed of a mobile application executing at the mobile computing device; and

communicating a content request to a server, the content request requesting a refreshing of content items presented in the content feed of the mobile application executing at the mobile computing device.

2. The method of claim 1 wherein the plurality of physical activity states of the user that can be identified by an activity status identifier comprise:

walking, running, sitting, standing, driving in a vehicle, and riding in a vehicle.

3. The method of claim 1, wherein the one or more sensors comprise:

a location sensor, an accelerometer, a gyroscope, a compass, a radio transceiver, and a clock.

4. The method of claim 1, wherein determining that the received activity status identifier satisfies the predefined condition includes determining that the received activity status identifier identifies a particular physical activity state that, based on historically observed data, frequently occurs when a user initiates a content request for content items to be presented in the content feed of the mobile application.

5. The method of claim 1, wherein determining that the received activity status identifier satisfies the predefined condition includes determining that the received activity status identifier identifies a particular physical activity state that, based on historically observed data, frequently occurs at a location proximate to the current location of the mobile computing device and when a user initiates a content request for content items to be presented in the content feed of the mobile application.

6. The method of claim 1, wherein determining that the received activity status identifier satisfies the predefined condition includes determining that the received activity status identifier identifies a particular physical activity state that, based on historically observed data, frequently occurs at a time of day temporally proximate to the current time of day and when a user initiates a content request for content items to be presented in the content feed of the mobile application.

7. A system comprising:

one or more processors;

one or more memories including one or more instructions, the one or more instructions configuring the one or more processors to, at least;

process information generated by one or more sensors of the mobile computing device to derive an activity status identifier, the activity status identifier identifying one of a plurality of possible physical activity states of a user of the mobile computing device

determine that the activity status identifier satisfies a predefined condition, the one or more processors to determine by performing operations including determining that a predetermined pattern of changes in the activity status identifier has occurred, the predetermined pattern of changes in the activity status identifier having been previously observed to have a co-occurrence with content requests for content items to be refreshed in a content feed of a mobile application executing at the mobile computing device; and

communicate a content request to a server, the content request requesting a refreshing of content items presented in the content feed of the mobile application executing at the mobile computing device.

8. The system of claim 7, wherein the plurality of physical activity states of the user that can be identified by an activity status identifier comprise:

walking, running, sitting, standing, driving in a vehicle, and riding in a vehicle.

9. The system of claim 7, wherein the one or more sensors comprise:

a location sensor, an accelerometer, a gyroscope, a compass, a radio transceiver, and a clock.

10. The system of claim 7, wherein determining that the received activity status identifier and the confidence level satisfy the predefined condition includes determining that the confidence level exceeds some threshold and the received activity status identifier identifies a particular physical activity state that, based on historically observed data, is associated with a high occurrence of content requests for content items to be presented in the content feed of the mobile application.

11. The system of claim 7, wherein determining that the received activity status identifier and the confidence level satisfy the predefined condition includes determining that the confidence level exceeds some threshold and the received activity status identifier identifies a particular physical activity state that, based on historically observed data, is associated with a high occurrence of previous content requests for content items to be presented in the content feed of the mobile application, wherein the previous content requests have occurred in a location proximate to the current location of the computing device.

12. The system of claim 7, wherein determining that the received activity status identifier and the confidence level satisfy the predefined condition includes determining that the confidence level exceeds some threshold and the received activity status identifier identifies a particular physical activity state that, based on historically observed data, is associated with a high occurrence of previous content requests for content items to be presented in the content feed of the mobile application, wherein the previous content requests have occurred at a time of day temporally proximate to the current time of day.

13. The system of claim 7, wherein determining that the received activity status identifier and the confidence level satisfy the predefined condition includes determining that the confidence level exceeds some threshold and the activity status identifier is part of a predetermined pattern of changes in the activity status identifier, wherein the predetermined pattern of changes in the activity status identifier has been historically observed to have a high co-occurrence with content requests for content items to be presented in the content feed of the mobile application.

14. A non-transitory machine readable storage medium storing a set of instructions that, when executed by one or more processors, causes the one or more processors to perform operations comprising:

processing information generated by one or more sensors of a mobile computing device to derive an activity status identifier, the activity status identifier identifying one or more of a plurality of possible physical activity states of a user of the mobile computing device;

determining that the activity status identifier satisfies a predefined condition, the determining including determined that a predetermined pattern of changes in the activity status identifier has occurred, the predetermined pattern of changes in the activity status identifier having been previously observed to have a co-occurrence with content requests for content items to be refreshed in a content feed of a mobile application executing at the mobile computing device; and

communicating a content request to a server, the content request requesting a refreshing of content items presented in the content feed of the mobile application executing at the mobile computing device.

15. The non-transitory machine readable storage medium of claim 14, wherein the plurality of physical activity states of the user that can be identified by an activity status identifier comprise:

walking, running, sitting, standing, driving in a vehicle, or riding in a vehicle.

16. The non-transitory machine readable storage medium of claim 14, wherein the one or more sensors comprise:

a location sensor, an accelerometer, a gyroscope, a compass, a radio transceiver, or a clock.

17. The non-transitory machine readable storage medium of claim 14, wherein determining that the received activity status identifier satisfies the predefined condition includes determining that the received activity status identifier identifies a particular physical activity state that, based on historically observed data, frequently occurs when a user initiates a content request for content items to be presented in the content feed of the mobile application.

18. The non-transitory machine readable storage medium of claim 14, wherein determining that the received activity status identifier satisfies the predefined condition includes determining that the received activity status identifier identifies a particular physical activity state that, based on historically observed data, frequently occurs at a location proximate to the current location of the mobile computing device and when a user initiates a content request for content items to be presented in the content feed of the mobile application.

19. The non-transitory machine readable storage medium of claim 14, wherein determining that the received activity status identifier satisfies the predefined condition includes determining that the received activity status identifiers identifies a particular physical activity state that, based on historically observed data, frequently occurs at a time of day temporally proximate to the current time of day and when a user initiates a content request for content items to be presented in the content feed of the mobile application.