System and method for selecting and serving content items based on sensor data from mobile devices

• US 10,075,815 B1
• Filed: 12/21/2015
• Issued: 09/11/2018
• Est. Priority Date: 03/12/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Bieniasz-Krzywiec, Lukasz, Leniowski, Dariusz, Vemula, Venu
• Primary Examiner(s): Chen, Alan S
• Application Number:
  US14/977,378
• Time in Patent Office: 995 Days
• Field of Search: None
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/025 using location based information parameters

Abstract

Sensor data having values received from several sensors of a mobile device and response data associated with the sensor data may be used in the determination or training of a predictive model. Received sensor data may be input into the predictive model, and the output of the predictive model may be used in the selection and serving of content items to the mobile device. Data to effect presentation of the selected content item may be outputted to the mobile device to effect presentation. In some instances, the predictive model may be updated using the received plurality of values. The updated predictive model may be used in the selection of a subsequent content item for the mobile device. In other implementations, historical sensor data may be used with the set of received sensor data as input for the predictive model.

Claims

1. A method comprising:

receiving, at one or more data processors, a first content item request and a first plurality of values received from a respective plurality of sensors of a mobile device, the first plurality of values combined with the first content item request in a first URL string, the first plurality of values indicating a first ambient condition of the mobile device;

selecting, using one or more data processors, a first content item based on a predictive model for selecting content items and the first plurality of values, the predictive model selecting the first content item from a plurality of candidate content items using associations between i) response data received from the mobile devices in response to the plurality of candidate content items presented on the mobile devices ii) values corresponding to sensors of mobile devices that are included in requests for content responsive to which the plurality of candidate content items are transmitted to the mobile devices, the predictive model maintaining, for each content item of the plurality of candidate content items, a performance metric based on the response data corresponding to the content item;

outputting data to effect presentation of the selected first content item;

receiving, at one or more data processors, first response data transmitted by the mobile device in response to presentation of the selected first content item at the mobile device associated with the selected first content item;

associating, at the one or more data processors, the first response data corresponding to the selected first content item to the first plurality of values included in the first content item request corresponding to the selected first content item;

updating the predictive model by associating the first response data corresponding to the selected first content item and the first plurality of values included in the first content item request corresponding to the selected first content item;

receiving, at one or more data processors, a second content item request and a second plurality of values received from a respective plurality of sensors of the mobile device, the second plurality of values combined with the second content item request in a second URL string, the plurality of values indicating a second ambient condition of the mobile device; and

selecting, using one or more data processors, a second content item from the plurality of candidate content items based on the updated predictive model and the second plurality of values.

2. The method of claim 1, wherein the first ambient condition and the second ambient condition are different;

and wherein the first selected first content item and the selected second content item are different.

3. The method of claim 1, wherein the first plurality of values received from the respective plurality of sensors is representative of at least one of an acceleration of the mobile device, a direction of gravity relative to the mobile device, a rate of rotation of the mobile device, a degree of rotation of the mobile device, an ambient geomagnetic field, a proximity of an object relative to the mobile device, an ambient light level, an ambient temperature, an ambient humidity, or an ambient air pressure.

4. The method of claim 1, wherein the first content item request is associated with a mobile webpage.

5. The method of claim 1, wherein the first content item request is associated with a mobile application.

6. The method of claim 1, wherein the predictive model is associated with a content item.

7. The method of claim 1, wherein the predictive model is associated with a category of content items.

8. The method of claim 1 further comprising:

storing the received first plurality of values received from the respective plurality of sensors of the mobile device in a device state history associated with the mobile device, the selection of the first content item is further based on the device state history.

9. A system comprising:

one or more data processors; and

a storage device storing instructions that, when executed by the one or more data processors, cause the one or more data processors to;

receive a first content item request and a first plurality of values received from a respective plurality of sensors of a mobile device, the first plurality of values combined with the first content item request in a first URL string, the first plurality of values indicating a first ambient condition of the mobile device,

select a first content item based on a predictive model for selecting content items and the first plurality of values, the predictive model selecting the first content item from a plurality of candidate content items using associations between i) response data received from the mobile devices in response to the plurality of candidate content items presented on the mobile devices ii) values corresponding to sensors of mobile devices that are included in requests for content responsive to which the plurality of candidate content items are transmitted to the mobile devices, the predictive model maintaining, for each content item of the plurality of candidate content items, a performance metric based on the response data corresponding to the content item,

output data to effect presentation of the selected first content item,

receive first response data transmitted by the mobile device in response to presentation of the selected first content item at the mobile device associated with the selected first content item,

associate the first response data corresponding to the selected first content item to the first plurality of values included in the first content item request corresponding to the selected first content item,

update the predictive model by associating the first response data corresponding to the selected first content item and the first plurality of values included in the first content item request corresponding to the selected first content item,

receive a second content item request and a second plurality of values received from a respective plurality of sensors of the mobile device, the second plurality of values combined with the second content item request in a second URL string, the plurality of values indicating a second ambient condition of the mobile device,

select a second content item from the plurality of candidate content items based on the updated predictive model and the second plurality of values, and

output data to effect presentation of the selected second content item.

10. The system of claim 9, wherein the first ambient condition and the second ambient condition are different.

11. The system of claim 9, wherein the first plurality of values received from the respective plurality of sensors is representative of at least one of an acceleration of the mobile device, a direction of gravity relative to the mobile device, a rate of rotation of the mobile device, a degree of rotation of the mobile device, an ambient geomagnetic field, a proximity of an object relative to the mobile device, an ambient light level, an ambient temperature, an ambient humidity, or an ambient air pressure.

12. The system of claim 9, wherein the first content item request is associated with a mobile webpage.

13. The system of claim 9, wherein the first content item request is associated with a mobile application.

14. The system of claim 9, wherein the first plurality of values from the mobile device is received as part of a first content item request from an application executed on the mobile device.

15. The system of claim 9 further comprising:

storing the received first plurality of values received from the respective plurality of sensors of the mobile device in a device state history associated with the mobile device, the selection of the first content item is further based on the device state history.

16. A computer-readable storage device storing instructions that, when executed by one or more data processors, cause the one or more data processors to perform operations comprising:

receiving a first content item request and a first plurality of values received from a respective plurality of sensors of a mobile device, the first plurality of values indicating a first ambient condition of the mobile device;

selecting a first content item based on a predictive model for selecting content items and the first plurality of values, the predictive model selecting the first content item from a plurality of candidate content items using associations between i) response data received from the mobile devices in response to the plurality of candidate content items presented on the mobile devices ii) values corresponding to sensors of mobile devices that are included in requests for content responsive to which the plurality of candidate content items are transmitted to the mobile devices, the predictive model maintaining, for each content item of the plurality of candidate content items, a performance metric based on the response data corresponding to the content item;

outputting data to effect presentation of the selected first content item;

receiving first response data transmitted by the mobile device in response to presentation of the selected first content item at the mobile device associated with the selected first content item;

associating, at the one or more data processors, the first response data corresponding to the selected first content item to the first plurality of values included in the first content item request corresponding to the selected first content item;

updating the predictive model by associating the first response data corresponding to the selected first content item and the first plurality of values included in the first content item request corresponding to the selected first content item;

receiving a second content item request and a second plurality of values received from a respective plurality of sensors of the mobile device, the plurality of values indicating a second ambient condition of the mobile device; and

selecting a second content item from the plurality of candidate content items based on the updated predictive model and the second plurality of values.

17. The computer-readable storage device of claim 16, wherein the first plurality of values received from the respective plurality of sensors is representative of at least one of an acceleration of the mobile device, a direction of gravity relative to the mobile device, a rate of rotation of the mobile device, a degree of rotation of the mobile device, an ambient geomagnetic field, a proximity of an object relative to the mobile device, an ambient light level, an ambient temperature, an ambient humidity, or an ambient air pressure.

18. The computer-readable storage device of claim 16, wherein the first plurality of values from the mobile device is received as part of a first content item request from an application executed on the mobile device.

19. The computer-readable storage device of claim 16, wherein the first plurality of values from the mobile device is received as part of a first content item request for a mobile webpage.

20. The computer-readable storage device of claim 16, wherein the predictive model is associated with a category of content items.