PROVIDING ON-DEMAND AUDIENCE BASED ON NETWORK

• US 20160239866A1
• Filed: 04/29/2016
• Published: 08/18/2016
• Est. Priority Date: 08/21/2014
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: GUPTA, Gaurav, SHARMA, Manish, BLONG, Devin, FLORES, Kevin, CHAUDHARY, Tushar
• Granted Patent: US 10,621,617 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/33 Querying
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0235 constrained by time limit or expiration date
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0264 based upon schedule
• 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: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/2547 Third Party Billing, e.g. billing of advertiser
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/47202 for requesting content on demand, e.g. video on demand
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A device receives, from a client device, a first request associated with target audience criteria and a time constraint. Based on the target audience criteria, the device sends, to an information device, a network state request. In response to the network state request, the device receives, from the information device, a network state response including user data associated with user devices. Based on the network state response, the device determines a predicted network state, including predicted user data associated with the user devices, associated with the time constraint. Based on the predicted network state and the target audience criteria, the device determines a predicted quantity of user devices associated with both the target audience criteria and the time constraint. The device sends, to the client device, a first response based on the determination of the predicted quantity of user devices.

Claims

1. A device, comprising:

one or more processors to;

receive, from a client device, a first request associated with a communication campaign,

the communication campaign including information associated with target audience criteria and time information for responding to a communication associated with the communication campaign;

send, to an information device, a second request based on the target audience criteria and the time information;

receive, from the information device, a response including user data associated with user devices;

determine, based on the response, predicted network state information including predicted user data associated with the user devices and associated with the time information for responding to the communication;

determine, based on the predicted network state information and the target audience criteria, a predicted quantity of user devices associated with the target audience criteria and the time information for responding to the communication;

send, to the client device and based on determining the predicted quantity of user devices, a particular response including information associated with the predicted quantity of user devices;

receive, from the client device and based on sending the particular response, a third request identifying a quantity of recipient user devices; and

send a message, associated with the first request or the third request, to the quantity of recipient user devices identified in the third request.

2. The device of claim 1, where the one or more processors are further to:

determine a predictive model associated with predicting network state information; and

where the one or more processors, when determining the predicted network state information, are to;

determine the predicted network state information based on the predictive model and the user data.

3. The device of claim 1, where the particular response includes an expiration time for the information associated with the predicted quantity of user devices included in the particular response,

the expiration time indicating a time at which a prediction, associated with the predicted quantity of user devices, expires.

4. The device of claim 1, where the one or more processors are further to:

identify, based on the quantity of recipient user devices identified in the third request and the predicted network state information, a set of recipient user devices; and

where the one or more processors, when sending the message to the quantity of recipient user devices, are to;

send the message to the identified set of recipient user devices.

5. The device of claim 1, where the one or more processors are further to:

determine current network state information associated with the user devices;

identify a set of recipient user devices based on the current network state information; and

where the one or more processors, when sending the message to the quantity of recipient user devices, are to;

send the message to the identified set of recipient user devices.

6. The device of claim 1, where the one or more processors are further to:

determine, based on the user data, a predicted power state associated with one or more of the user devices; and

where the one or more processors, when determining the predicted quantity of user devices, are further to;

determine the predicted quantity of user devices based on the predicted power state associated with the one or more user devices.

7. The device of claim 1, where the user data associated with user devices includes information associated with at least one of:

a location of a user device of the user devices;

an e-mail message sent or received by the user device;

a text message sent or received by the user device;

a search query sent or received by the user device;

browsing activity of the user device;

a purchase initiated via the user device;

or

a power state of the user device.

8. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

receive, from a client device, a first request associated with a communication campaign,

the communication campaign including information associated with target audience criteria and time information for responding to a communication associated with the communication campaign;

receive, from one or more information devices associated with a network, network state information associated with user devices;

determine, based on the network state information, predicted network state information associated with the user devices;

determine, based on the predicted network state information, a predicted quantity of user devices associated with the first request;

send, to the client device, a response based on the predicted quantity of user devices to permit the communication campaign to be initiated;

receive, from the client device and based on sending the response, a second request identifying a quantity of recipient user devices; and

send a message, associated with the first request or the second request, to the quantity of recipient user devices identified in the second request.

9. The non-transitory computer-readable medium of claim 8, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine a predictive model associated with predicting network state information; and

where the one or more instructions, that cause the one or more processors to determine the predicted network state information, cause the one or more processors to;

determine the predicted network state information based on the predictive model and the network state information.

10. The non-transitory computer-readable medium of claim 8, where the response includes pricing information associated with sending the message to the quantity of recipient user devices.

11. The non-transitory computer-readable medium of claim 8, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

identify, based on the quantity of recipient user devices identified in the second request and the predicted network state information, a set of recipient user devices; and

where the one or more instructions, that cause the one or more processors to send the message to the quantity of recipient user devices, cause the one or more processors to;

send the message to the identified set of recipient user devices.

12. The non-transitory computer-readable medium of claim 8, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine current network state information associated with the user devices;

identify a set of recipient user devices based on the current network state information; and

where the one or more instructions, that cause the one or more processors to send the message to the quantity of recipient user devices, cause the one or more processors to;

send the message to the identified set of recipient user devices.

13. The non-transitory computer-readable medium of claim 8, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to:

determine, based on the network state information, a predicted power state associated with one or more of the user devices; and

where the one or more instructions, that cause the one or more processors to determine the predicted quantity of user devices, cause the one or more processors to;

determine the predicted quantity of user devices based on the predicted power state associated with the one or more user devices.

14. The non-transitory computer-readable medium of claim 8, where the network state information includes information associated with at least one of:

a location of a user device of the user devices;

an e-mail message sent or received by the user device;

a text message sent or received by the user device;

a search query sent or received by the user device;

browsing activity of the user device;

a purchase initiated via the user device;

or

a power state of the user device.

15. A method comprising:

receiving, by a device and from a client device, a first request associated with a communication campaign,

the communication campaign including information associated with target audience criteria and information associated with time information for responding to a communication associated with the communication campaign;

sending, by the device and to an information device, a second request based on the target audience criteria;

receiving, by the device and from the information device, a response including user data associated with user devices;

determining, by the device and based on the response, predicted network state information including predicted user data associated with the user devices and associated with the time information for responding to the communication,

the predicted user data including predicted location information associated with the user devices;

determining, by the device and based on the predicted network state information and the target audience criteria, a predicted quantity of user devices associated with the target audience criteria and the time information for responding to the communication; and

sending, by the device, a particular response to the client device based on determining the predicted quantity of user devices;

receiving, from the client device, a third request, based on sending the particular response, identifying a quantity of recipient user devices; and

sending a message, associated with the first request or the third request, to the quantity of recipient user devices identified in the third request.

16. The method of claim 15, further comprising:

determining a predictive model associated with predicting network state information; and

where determining the predicted network state information comprises;

determining the predicted network state information based on the predictive model and the user data.

17. The method of claim 15, where the particular response includes at least one of:

an expiration time for the information associated with the predicted quantity of user devices,

the expiration time indicating a time at which a prediction, associated with the

predicted quantity of user devices, expires;

or

pricing information associated with sending the message to the quantity of recipient user devices.

18. The method of claim 15, further comprising:

identifying, based on the quantity of recipient user devices identified in the third request and the predicted network state information, a set of recipient user devices; and

where sending the message to the quantity of recipient user devices comprises;

sending the message to the identified set of recipient user devices.

19. The method of claim 15, further comprising:

determining current network state information associated with the user devices;

identifying a set of recipient user devices based on the current network state information; and

where sending the message to the quantity of recipient user devices comprises;

sending the message to the identified set of recipient user devices.

20. The method of claim 15, further comprising:

determining, based on the user data, a predicted power state associated with one or more of the user devices; and

where determining the predicted quantity of user devices comprises;

determining the predicted quantity of user devices based on the predicted power state associated with the one or more user devices.