Predictive geo-temporal advertisement targeting
First Claim
1. One or more computer-storage media having computer-executable instructions embodied thereon for performing a method of targeting advertising content to a user of a mobile device based on predicted device location, the method comprising:
- updating a dynamic geo-temporal model comprising a representation of a plurality of locations of the mobile device during a plurality of time periods, wherein updating the dynamic geo-temporal model comprises incorporating time-stamped device location data collected according to a dynamically updateable sample design;
specifying a first time period in the future;
predicting, before the first time period, a location of the device during the first time period using the dynamic geo-temporal model;
determining a confidence level associated with the predicted location;
selecting an advertisement to provide to the device based on the predicted location and the confidence level;
providing the advertisement to the device such that the advertisement is capable of being presented to the user during the first time period;
determining that the sample design should be updated; and
updating the sample design.
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Accused Products
Abstract
A method, system, and medium are provided for targeting advertisements to users of mobile devices based on geo-temporal models. Time-stamped location information is collected for a mobile device and a dynamic geo-temporal model is constructed and updated when new data is collected according to a sample design. Using the geo-temporal model, device location and instances of user interaction with the device can be predicted, and advertisements can be provided based on the predicted location. Advertisements can be cached on the mobile device for later presentation, and the sample design can be updated to improve efficiency and accuracy in the modeling system.
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Citations
20 Claims
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1. One or more computer-storage media having computer-executable instructions embodied thereon for performing a method of targeting advertising content to a user of a mobile device based on predicted device location, the method comprising:
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updating a dynamic geo-temporal model comprising a representation of a plurality of locations of the mobile device during a plurality of time periods, wherein updating the dynamic geo-temporal model comprises incorporating time-stamped device location data collected according to a dynamically updateable sample design; specifying a first time period in the future; predicting, before the first time period, a location of the device during the first time period using the dynamic geo-temporal model; determining a confidence level associated with the predicted location; selecting an advertisement to provide to the device based on the predicted location and the confidence level; providing the advertisement to the device such that the advertisement is capable of being presented to the user during the first time period; determining that the sample design should be updated; and updating the sample design. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. One or more computer-storage media having computer-executable instructions embodied thereon for performing a method of targeting advertising content to a user of a mobile device based on predicted device location, the method comprising:
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collecting time-stamped device location data corresponding to a plurality of instances of user interaction with the mobile device; updating a dynamic geo-temporal model that represents a hypothesized relationship between user interaction with the mobile device and the location of the mobile device when the user interacts with the mobile device; specifying a first time period in the future; predicting, before the first time period, that the user will interact with the mobile device during the first time period, wherein predicting comprises referencing the dynamic geo-temporal model, and wherein a first confidence level associated with the predicted user interaction is determined; predicting, before the first time period, that the mobile device will be at a first location during the first time period; determining a second confidence level associated with the predicted user location; and providing a selected advertisement to the mobile device such that the advertisement is capable of being stored in a cache on the mobile device and presented to the user during the first time period, wherein the advertisement is selected based on the first location, the first confidence level, and the second confidence level. - View Dependent Claims (12, 13, 14, 15, 16)
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17. One or more computer-storage media having computer-executable instructions embodied thereon for performing a method of targeting advertising content to a user of a mobile device based on predicted device location, the method comprising:
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referencing a dynamically updateable sample design for identifying a plurality of sampling time periods during which to collect location information associated with the mobile device; detecting an instance of user interaction with the mobile device during each of a subset of the plurality of sampling time periods; collecting time-stamped device location data associated with the mobile device in response to detecting each instance of user interaction with the device; updating a dynamic geo-temporal model from the collected time-stamped device location data; specifying a first time period in the future; determining, before the first time period, a first confidence level associated with a prediction of user interaction with the mobile device corresponding to the first time period; determining, before the first time period, a second confidence level associated with a prediction of a first device location during the first time period; comparing the first and second confidence levels to a first and a second predetermined threshold; determining availability of storage space in a cache on the mobile device; upon at least one of the first and second confidence levels exceeding the corresponding threshold, determining an advertisement based on at least the first device location and the storage space in the cache; providing the advertisement such that the advertisement is capable of being presented to the user during the first time period; and updating the sample design based on at least one of the first and the second confidence levels. - View Dependent Claims (18, 19, 20)
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Specification