Privacy-safe frequency distribution of geo-features for mobile devices

Patent metadata

Field	Value
Publication number	US-11200601-B1
Application number	US-202016778221-A
Country	US
Kind code	B1
Filing date	Jan 31, 2020
Priority date	Jun 30, 2016
Publication date	Dec 14, 2021
Grant date	Dec 14, 2021

Abstract

A mobile device's location and an identifier corresponding to the mobile device is received. The mobile device's location is privatized by mapping it to landmarks proximate to the mobile device's location, storing the proximate landmarks in association with the mobile device's identifier, and discarding the received location data. The proximate landmarks are featurized to generate a model which is used to determine a value of the advertising opportunity corresponding to a target identifier.

First claim

What is claimed is:

1. A method, comprising:
privatizing, by a server, geographic location information, comprising:
for each of a plurality of mobile devices, for each of a plurality of locations:
receiving a location and an identifier corresponding to a respective mobile device;
mapping the location to at least one proximate landmark;
storing the proximate landmarks in association with the identifier; and
discarding the received location;

generating, by the server, a proximate geo model, comprising:
featurizing the proximate landmarks to generate a set of geo model features; and
training a proximate geo model using the geo model features; and

responsive to receiving, by the server and from an ad exchange, a bid request and a target identifier corresponding to an advertising opportunity, and to receiving a consumption history and record of proximate landmarks associated with the target identifier:
applying the proximate geo model to the consumption history and record of proximate landmarks associated with the target identifier to determine a value of the advertising opportunity to an advertising campaign; and
returning, to the ad exchange, a bid amount based on the determined value;
wherein the time passage between receiving the bid request and returning the bid amount is a fraction of a second.

2. The method of claim 1 , wherein a proximate landmark is within a pre-determined radius around the corresponding location.

3. The method of claim 1 , wherein at least one proximate landmark is a type of business.

4. The method of claim 1 , wherein at least one proximate landmark is a type of natural feature.

5. The method of claim 1 , wherein featurizing the proximate landmarks comprises featurizing the proximate landmarks by frequency.

6. The method of claim 1 , wherein featurizing the proximate landmarks comprises:
featurizing the proximate landmarks that are most strongly correlated to converters.

7. The method of claim 1 , wherein featurizing the proximate landmarks comprises:
receiving landmarks of interest to an advertiser; and
featurizing the proximate landmarks that correspond to the landmarks of interest to the advertiser.

8. A non-transitory computer-readable storage medium storing processor-executable computer program instructions that, when executed, cause a computer processor to perform a method, the method comprising:
privatizing, by a server, geographic location information, comprising:
for each of a plurality of mobile devices, for each of a plurality of locations:
receiving a location and an identifier corresponding to a respective mobile device;
mapping the location to at least one proximate landmark;
storing the proximate landmarks in association with the identifier; and
discarding the received location;

generating, by the server, a proximate geo model, comprising:
featurizing the proximate landmarks to generate a set of geo model features; and
training a proximate geo model using the geo model features; and

responsive to receiving, by the server and from an ad exchange, a bid request and a target identifier corresponding to an advertising opportunity, and to receiving a consumption history and record of proximate landmarks associated with the target identifier:
applying the proximate geo model to the consumption history and record of proximate landmarks associated with the target identifier to determine a value of the advertising opportunity to an advertising campaign; and
returning, to the ad exchange, a bid amount based on the determined value;
wherein the time passage between receiving the bid request and returning the bid amount is a fraction of a second.

9. The medium of claim 8 , wherein a proximate landmark is within a pre-determined radius around the corresponding location.

10. The medium of claim 8 , wherein at least one proximate landmark is a type of business.

11. The medium of claim 8 , wherein at least one proximate landmark is a type of natural feature.

12. The medium of claim 8 , wherein featurizing the proximate landmarks comprises featurizing the proximate landmarks by frequency.

13. The medium of claim 8 , wherein featurizing the proximate landmarks comprises:
featurizing the proximate landmarks that are most strongly correlated to converters.

14. The medium of claim 8 , wherein featurizing the proximate landmarks comprises:
receiving landmarks of interest to an advertiser; and
featurizing the proximate landmarks that correspond to the landmarks of interest to the advertiser.

15. A system comprising:
a processor; and
a non-transitory computer-readable storage medium storing processor-executable computer program instructions that, when executed, cause a computer processor to perform a method, the method comprising:
privatizing, by a server, geographic location information, comprising:
for each of a plurality of mobile devices, for each of a plurality of locations:
receiving a location and an identifier corresponding to a respective mobile device;
mapping the location to at least one proximate landmark;
storing the proximate landmarks in association with the identifier; and
discarding the received location;

generating, by the server, a proximate geo model, comprising:
featurizing the proximate landmarks to generate a set of geo model features; and
training a proximate geo model using the geo model features; and

responsive to receiving, by the server and from an ad exchange, a bid request and a target identifier corresponding to an advertising opportunity, and to receiving a consumption history and record of proximate landmarks associated with the target identifier:
applying the proximate geo model to the consumption history and record of proximate landmarks associated with the target identifier to determine a value of the advertising opportunity to an advertising campaign; and
returning, to the ad exchange, a bid amount based on the determined value;
wherein the time passage between receiving the bid request and returning the bid amount is a fraction of a second.

16. The system of claim 15 , wherein a proximate landmark is within a pre-determined radius around the corresponding location.

17. The system of claim 15 , wherein at least one proximate landmark is a type of business.

18. The system of claim 15 , wherein at least one proximate landmark is a type of natural feature.

19. The system of claim 15 , wherein featurizing the proximate landmarks comprises featurizing the proximate landmarks by frequency.

20. The system of claim 15 , wherein featurizing the proximate landmarks comprises:
featurizing the proximate landmarks that are most strongly correlated to converters.

21. The system of claim 15 , wherein featurizing the proximate landmarks comprises:
receiving landmarks of interest to an advertiser; and
featurizing the proximate landmarks that correspond to the landmarks of interest to the advertiser.

Assignees

• Quantcast Corp

Inventors

• Ryu Eunsu
• Huang Sean
• Pham Tong T
• Job Joshua A

Classifications

• G06Q30/0275

  Auctions · CPC title

• G06Q30/0267

  Wireless devices · CPC title

• G06Q30/0261 Primary

  based on user location · CPC title

• H04W4/023

  using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title