LOCATION-INTENTION CONTEXT FOR CONTENT DELIVERY
First Claim
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1. A computer-implemented method comprising:
- collecting user characteristic data, the user characteristic data including user information collected by a mobile device, at least a portion of the user characteristic data being temporary data;
classifying the user into a spatial-temporal segment based on the user characteristic data, wherein the inclusion of the user into the spatial-temporal segment is indicative of a past behavior;
purging the temporary data after the user has been categorized into the spatial-temporal segment; and
serving invitational content to the user based on the user having been categorized into the spatial-temporal segment, when the user is likely to repeat at least a portion of the past behavior.
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Abstract
Invitational content targeted to a particular behavior can be served to the user when the user is likely to reproduce a desired behavior. The user is classified into one or more spatial-temporal segments based on an analysis of the user'"'"'s characteristics and the user'"'"'s past behavior. When a request is made for an item of invitational content, a spatial-temporal segment is selected based on a substantial likelihood that the current context will lead to a repeat of the representative past behavior. An item of invitational content associated with the selected segment is then served to the user.
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Citations
21 Claims
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1. A computer-implemented method comprising:
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collecting user characteristic data, the user characteristic data including user information collected by a mobile device, at least a portion of the user characteristic data being temporary data; classifying the user into a spatial-temporal segment based on the user characteristic data, wherein the inclusion of the user into the spatial-temporal segment is indicative of a past behavior; purging the temporary data after the user has been categorized into the spatial-temporal segment; and serving invitational content to the user based on the user having been categorized into the spatial-temporal segment, when the user is likely to repeat at least a portion of the past behavior. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising:
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a processor; a first module configured to control the processor to collect user characteristic data, the user characteristic data including user information collected by a mobile device, at least a portion of the user characteristic data being temporary data; a second module configured to control the processor to classify the user into a spatial-temporal segment based on the user characteristic data, wherein the inclusion of the user into the spatial-temporal segment is indicative of a past behavior; a third module configured to control the processor to purge the temporary data after the user has been categorized into the spatial-temporal segment; and a fourth module configured to control the processor to serve invitational content to the user based on the user having been categorized into the spatial-temporal segment, when the user is likely to repeat at least a portion of the past behavior. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer readable medium having computer-readable code stored thereon for causing a computer to perform a method, the method comprising:
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collecting user characteristic data, the user characteristic data including user information collected by a mobile device, at least a portion of the user characteristic data being temporary data; classifying the user into a spatial-temporal segment based on the user characteristic data, wherein the inclusion of the user into the spatial-temporal segment is indicative of a past behavior; purging the temporary data after the user has been categorized into the spatial-temporal segment; and serving invitational content to the user based on the user having been categorized into the spatial-temporal segment, when the user is likely to repeat at least a portion of the past behavior. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification