METHOD AND APPARATUS FOR PERFORMING REAL-TIME OUT HOME ADVERTISING PERFORMANCE ANALYTICS BASED ON ARBITRARY DATA STREAMS AND OUT OF HOME ADVERTISING DISPLAY ANALYSIS

• US 20150039415A1
• Filed: 07/30/2013
• Published: 02/05/2015
• Est. Priority Date: 07/30/2013
• Status: Active Grant

• Current Assignee: HERE Global B.V. (HERE Holding Corporation)
• Original Assignee: HERE Global B.V. (HERE Holding Corporation)
• Inventors: BOLDYREV, Sergey, TARKKALA, Lauri Aarno Olavi, KHALESI, Mohammed Ali Wieslaw
• Granted Patent: US 10,055,752 B2
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0255 based on user history

Abstract

An approach is provided for determining performance of location-based displays. The coincidences computational platform may process and/or facilitate a processing of at least one data stream associated with at least one device to cause, at least in part, an extraction of one or more data sets. Then, the content platform may determine one or more arbitrary events data sets from among the one or more data sets based, at least in part, on a coincident occurrence of casual and non-causal events of the one or more arbitrary events data sets with at least on location-based display. Lastly, the content platform may determine one or more information placement parameters for the at least one location-based display based, at least in part, on the one or more arbitrary events data sets.

Claims

1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the following:

processing and/or facilitating a processing of at least one data stream associated with at least one device to cause, at least in part, an extraction of one or more data sets;

determining one or more arbitrary events data sets from among the one or more data sets based, at least in part, on a coincidence of the one or more arbitrary events data sets with at least one location-based display; and

determining one or more information placement parameters for the at least one location-based display based, at least in part, on the one or more arbitrary events data sets.

2. A method of claim 1, wherein the extraction of the one or more data sets, the determination of the one or more arbitrary events data sets, or a combination thereof is based, at least in part, on a knowledge extraction, a contextual experience extraction, one or more data models, one or more data normalization processing models, or a combination thereof.

3. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

determining one or more operations performed by the least one device in contextual proximity to the one or more arbitrary events data sets, the at least one location-based display, or a combination thereof,

wherein the one or more information placement parameters are further based, at least in part, on the one or more operations.

4. A method of claim 3, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

determining archetypal information, one or more behavioral models, or a combination thereof for at least one user of the at least one device based, at least in part, on the one or more arbitrary events data sets, the one or more operations, or a combination thereof,

wherein the one or more information placement parameters are further based, at least in part, on the archetypal information.

5. A method of claim 4, wherein the at least one data stream, the one or more data sets, the one or more arbitrary events data sets, or a combination thereof include, at least in part, positioning data gathered from map content information, one or more location-based services, or a combination thereof.

6. A method of claim 5, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

causing, at least in part, a binding of the positioning data to the archetypal information, the one or more behavioral models, or a combination thereof to determine one or more user intents with respect to the at least one location-based display.

7. A method of claim 6, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

determining the one or more information placement parameters based, at least in part, on the binding, the positioning information, or a combination thereof.

8. A method of claim 3, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

causing, at least in part, a construction of at least one normal distribution of the one or more arbitrary events data sets in relation to the one or more operations; and

determining one or more outlier areas of the at least one normal distribution,

wherein the one or more information placement parameters are further based, at least in part, on the one or more outlier areas.

9. A method of claim 3, wherein the one or more operations include, at least in part, one or more input operations, one or more output operations, one or more view-through operations, one or more click-through operations, or a combination thereof.

10. A method of claim 1, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

determining the at least one information display based, at least in part, on whether the at least one information display is at least one focal point of the at least one device.

11. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

process and/or facilitate a processing of at least one data stream associated with at least one device to cause, at least in part, an extraction of one or more data sets;

determine one or more arbitrary events data sets from among the one or more data sets based, at least in part, on a coincidence of the one or more arbitrary events data sets with at least one location-based display; and

determine one or more information placement parameters for the at least one location-based display based, at least in part, on the one or more arbitrary events data sets.

12. An apparatus of claim 11, wherein the extraction of the one or more data sets, the determination of the one or more arbitrary events data sets, or a combination thereof is based, at least in part, on a knowledge extraction, a contextual experience extraction, one or more data models, one or more data normalization processing models, or a combination thereof.

13. An apparatus of claim 11, wherein the apparatus is further caused to:

determine one or more operations performed by the least one device in contextual proximity to the one or more arbitrary events data sets, the at least one location-based display, or a combination thereof,

wherein the one or more information placement parameters are further based, at least in part, on the one or more operations.

14. An apparatus of claim 13, wherein the apparatus is further caused to:

determine archetypal information, one or more behavioral models, or a combination thereof for at least one user of the at least one device based, at least in part, on the one or more arbitrary events data sets, the one or more operations, or a combination thereof,

wherein the one or more information placement parameters are further based, at least in part, on the archetypal information.

15. An apparatus of claim 14, wherein the at least one data stream, the one or more data sets, the one or more arbitrary events data sets, or a combination thereof include, at least in part, positioning data gathered from map content information, one or more location-based services, or a combination thereof.

16. An apparatus of claim 15, wherein the apparatus is further caused to:

cause, at least in part, a binding of the positioning data to the archetypal information, the one or more behavioral models, or a combination thereof to determine one or more user intents with respect to the at least one location-based display.

17. An apparatus of claim 16, wherein the apparatus is further caused to:

determine the one or more information placement parameters based, at least in part, on the binding, the positioning information, or a combination thereof.

18. An apparatus of claim 13, wherein the apparatus is further caused to:

cause, at least in part, a construction of at least one normal distribution of the one or more arbitrary events data sets in relation to the one or more operations; and

determine one or more outlier areas of the at least one normal distribution,

wherein the one or more information placement parameters are further based, at least in part, on the one or more outlier areas.

19. An apparatus of claim 13, wherein the one or more operations include, at least in part, one or more input operations, one or more output operations, one or more view-through operations, one or more click-through operations, or a combination thereof.

20. An apparatus of claim 11, wherein the apparatus is further caused to:

determine the at least one information display based, at least in part, on whether the at least one information display is at least one focal point of the at least one device.

21-54. -54. (canceled)