System and method for direct response advertising

• US 10,360,583 B2
• Filed: 04/03/2015
• Issued: 07/23/2019
• Est. Priority Date: 02/05/2015
• Status: Active Grant

• Current Assignee: Direct Path LLC
• Original Assignee: Direct Path LLC
• Inventors: Esayian, Nicholas
• Primary Examiner(s): Refai, Sam
• Assistant Examiner(s): Shorter, Rashida R
• Application Number:
  US14/678,888
• Publication Number:
  US 20160232577A1
• Time in Patent Office: 1,572 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0245 Surveys
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0272 Period of advertisement exposure
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G06Q 30/0635 Processing of requisition or of purchase orders

Abstract

Systems and methods to provide a response to advertising determine and/or obtain a commercial good that is related to an advertisement presented to a user, and further determine and/or obtain a commercial source for that commercial good. Information regarding the particular commercial good and/or the corresponding commercial source is presented to the user, for example using a graphical user interface. The user may subsequently be able to buy the commercial good from the commercial source.

Claims

1. A network-based, computer-implemented system for identifying a commercial good or service based on an advertisement and for selecting a commercial source of the commercial good or service, comprising:

a plurality of databases in digital communication with a network, the plurality of databases includes a local database and a remote database, each database of the plurality of databases includes a plurality of information sets, each information set is associated with a prescribed advertisement and includes time-frequency representations of sound from the prescribed advertisement and identification of the corresponding good or service of the advertisement;

a client computing platform associated with at least one user, including a digital processor assembly and a digital memory assembly, the client computing platform further having the local database, the client computing platform having computer-readable instructions, to;

capture sound digitally, via a microphone, presented to the client computing platform;

convert the captured sound to a time-frequency representation on the client computing platform;

transmit the time-frequency representation to a server through a network; and

compare the time-frequency representation with the information in the local database;

a server assembly in digital communication with the client computing platform via a network, the server assembly includes at least one physical processor configured, via computer-readable instructions, to;

receive, from the client computing platform, the time-frequency representation;

compare the received time-frequency representation with the information sets in the plurality of databases to determine a likelihood match (LM) values from between the received time-frequency representation and a comparable time-frequency representation from each of the plurality of databases, such that the comparisons on the plurality of databases are initiated at substantially the same time, in that the remote database is located remote of the client computing platform;

identify the commercial good or service based on the comparison that is associated with the highest LM value from the comparison;

determine one or more commercial sources pertaining to the identified commercial good or service;

select a commercial source from the determined one or more commercial sources based on one or more pre-set parameters, the one or more pre-set parameters configured with a hierarchical and weighted disposition, the one or more pre-set parameters comprising of

     1) pre-determined geographical area surrounding the client computing platform,

     2) user data,

     3) product availability,

     4) language of the advertisement,

     5) user-set preferences,

     6) product pricing, and

     7) internal system preferences;

determine a representation of the identified commercial good or service based on the selected commercial source; and

effectuate a first presentation of the representation of the commercial good or service on a user interface of the client computing platform, providing the ability for the at least one user to purchase the commercial good or service within the system.

2. The system of claim 1, wherein the processor is further configured to:

track and/or record that the at least one advertisement for the commercial good or service has been identified; and

determine compensation to be paid by the selected commercial source to a stakeholder associated with deployment of the system in exchange for the selection.

3. The system of claim 1, wherein the processor is further configured to, responsive to receipt of first user input interacting with the user interface of the client computing platform, effectuate a selection of the representation of the commercial good or service.

4. The system of claim 3, wherein the processor is further configured to, responsive to receipt of second user input interacting with the user interface of the client computing platform, effectuate a purchase by the user of the commercial good or service.

5. The system of claim 1, wherein the processor is further configured to identify the advertisement for the commercial good or service that has been presented by a sound-producing device that produces both video and sound.

6. The system of claim 1, wherein sound produced by a sound-producing device includes an audio stream.

7. The system of claim 1, wherein the user interface is configured to include a plurality of representations of commercial goods or services associated with different advertisements, wherein the plurality is limited by at least one of a predetermined maximum number of representations or a predetermined maximum span of time.

8. A method for determining and selecting a commercial source of a commercial good or service from at least one commercial source, the method comprising:

storing in a plurality of databases in digital communication with a network, the plurality of databases includes a local database and a remote database, each database of the plurality of databases includes a plurality of information sets, each information set is associated with a prescribed advertisement and includes time-frequency representations of sound from the prescribed advertisement and identification of the corresponding good or service of the advertisement;

receiving from the client computing platform, a time-frequency representation that is based on sound that was captured digitally, presented to the client computing platform and converted the captured sound to a time-frequency representation on the client computing platform;

comparing the received time-frequency representation with the information sets in the plurality of databases to determine a likelihood match (LM) values from between the received time-frequency representation and a comparable time-frequency representation from each of the plurality of databases, such that the comparisons on the plurality of databases are initiated at substantially the same time, in that the remote database is located remote of the client computing platform;

identifying the commercial good or service based on the comparison that is associated with the highest LM value from the comparison;

determining one or more commercial sources pertaining to the identified commercial good or service;

selecting a commercial source from the determined one or more commercial sources based on one or more pre-set parameters, the one or more pre-set parameters configured with a hierarchical and weighted disposition, the one or more pre-set parameters comprising of

     1) pre-determined geographical area surrounding the client computing platform,

     2) user data,

     3) product availability,

     4) language of the advertisement,

     5) user-set preferences,

     6) product pricing, and

     7) internal system preferences;

determining a representation of the identified commercial good or service based on the selected commercial source; and

effectuating a first presentation of the representation of the commercial good or service on a user interface of the client computing platform, providing the ability for the at least one user to purchase the commercial good or service within the system.

9. The method of claim 8, further comprising:

tracking whether the user purchases the commercial good or service within the system or redirects to a location outside of the system.

10. The method of claim 8, further comprising:

storing information that includes a first user profile wherein a first client computing platform is associated with the first user, and the user profiles include;

information related to advertisements for commercial goods and, the advertisements have been presented in proximity of the first user.

11. The method of claim 10, wherein the first user profile further includes demographical information that has been obtained through usage of the system by the first user, wherein the pre-set parameters further includes a demographical parameter that is related to the demographical information.

12. The method of claim 10, wherein the first user profile further includes temporal information regarding the time of day the first user has used the system, wherein the pre-set parameters further includes a temporal parameter that is related to the temporal information.