Synthesizing messaging using context provided by consumers

• US 10,181,137 B2
• Filed: 02/10/2016
• Issued: 01/15/2019
• Est. Priority Date: 09/08/2009
• Status: Active Grant

• Current Assignee: Primal Fusion Inc.
• Original Assignee: Primal Fusion Inc.
• Inventors: Sweeney, Peter Joseph
• Primary Examiner(s): Fan, Hua
• Application Number:
  US15/040,842
• Publication Number:
  US 20160171562A1
• Time in Patent Office: 1,070 Days
• CPC Class Codes: G06F 16/84 Mapping; Conversion
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0276 Advertisement creation
• CPC Class Codes: H04L 51/10 Multimedia information
• CPC Class Codes: H04L 51/234 for tracking messages

Abstract

The present invention provides a computer network implementable integration of promoted information with non-promoted content before a consumer interaction with the network, such that when the consumer interacts with the network, a consumer information interacts with this integrated content and delivers a message to the consumer such that the consumer visualizes this message as part of consumer experience without distracting from the network interaction task at hand. The integration is facilitated by semantic analysis and synthesis to naturally position the promoted content as close to the consumer interaction tasks as possible at that instant. This approach displaces the current practise of matching message to media placement while further enabling a promoter to evaluate and respond to feedback data depicting the efficacy of the sponsor message. The network in question is any computer network such as the Internet or intranet.

Claims

1. A computer network implementable method for synthesizing relevant messaging from a domain of information, underpinned by promoted content, using a consumer-generated context, the method comprising:

obtaining promoted content associated with at least one promoter;

receiving advertising material from the at least one promoter;

receiving a consumer-generated context;

semantically analyzing and synthesizing, using one or more computer processors executing a stored program, a semantic network based on the promoted content and the consumer-generated context, wherein the semantic network is embodied in a data structure storing data associated with the semantic network;

synthesizing relevant messaging based on the promoted content and the consumer-generated context, the synthesizing comprising;

deconstructing the advertising material received from the at least one promoter into a plurality of messaging leads; and

selecting at least some of the plurality of messaging leads and assembling the selected messaging leads into a message based on the consumer-generated context, the message having relevant promoted content interspersed between the selected messaging leads from the received advertising material; and

providing the synthesized relevant messaging based on the semantic network, wherein the relevant messaging is traceable to the at least one promoter.

2. The method of claim 1, further comprising outputting the relevant messaging to the consumer.

3. The method of claim 2, wherein the outputting includes displaying the relevant messaging as part of one or more linked web pages, wherein the promoted content is in a hyperlinked format.

4. The method of claim 3, further comprising prioritizing the promoted content synthesized for possible display, wherein a higher priority results in a higher probability of display and/or a higher number in an order sequence for display.

5. The method of claim 4, wherein the priority is based on a parameter selected from the group consisting of:

relevancy, higher fees, location of an IP address, GPS coordinates, or a combination thereof.

6. The method of claim 3, further comprising time-slicing the promoted content synthesized for possible display to accommodate more than one promoter or message.

7. The method of claim 1, wherein the relevant messaging includes a semantic representation of the promoted content based on the consumer-generated context.

8. The method of claim 7, wherein the consumer-generated context comprises consumer interaction information, and wherein the method further comprises:

a) receiving the consumer interaction information;

b) comparing the consumer interaction information to generated semantic representations to identify one or more relevant semantic representations; and

c) semantically synthesizing the one or more relevant semantic representations along with the consumer interaction information into consumer concept definitions, the consumer concept definitions including the semantic representation of the promoted content.

9. The method of claim 8, wherein the consumer interaction information comprises consumer input on an interface, consumer demographic information, consumer browsing information, machine generated data, GPS data, sensor data, or any combination thereof.

10. The method of claim 9, wherein the consumer input is a web based search query and wherein a web page with search results is output.

11. The method of claim 1, wherein the relevant messaging matches the promoted content to the consumer based on the consumer-generated context.

12. The method of claim 1, wherein the at least one promoter provides the promoted content that is the underpinning of the domain.

13. The method of claim 1, wherein the at least one promoter does not provide non-promoted content that is the underpinning of the domain.

14. The method of claim 1, wherein the semantic analysis is provided by faceted analysis, entity extraction, natural language processing, or any combination thereof.

15. The method of claim 1, wherein the semantic synthesis is provided by faceted classification, semantic reasoners, multi-document summarization, formal concept analysis, a customized semantic synthesis protocol, or any combination thereof.

16. The method of claim 1, further comprising monitoring performance of the promoted content within the relevant messaging and enabling the at least one promoter to evaluate and update the semantic analysis and/or semantic synthesis of the promoted content based on the performance.

17. The method of claim 1, further comprising charging a fee for the semantic analysis and/or semantic synthesis of the promoted content.

18. The method of claim 1, wherein synthesizing the semantic network comprises generating one or more consumer concepts within the semantic network, at least one of the one or more consumer concepts being generated based on the promoted content and the consumer-generated context.

19. A computer implemented method comprising:

obtaining promoted content associated with at least one promoter;

receiving advertising material from the at least one promoter;

receiving consumer interaction information;

semantically synthesizing, using one or more computer processors executing a stored program, a semantic network based on the promoted content and the consumer interaction information, wherein the semantic network is embodied in a data structure storing data associated with the semantic network;

synthesizing messaging based on the promoted content and the consumer interaction information, the synthesizing comprising;

deconstructing the advertising material received from the at least one promoter into a plurality of messaging leads; and

selecting at least some of the plurality of messaging leads and assembling the selected messaging leads into a message based on the consumer interaction information, the message having relevant promoted content interspersed between the selected messaging leads from the received advertising material; and

providing the messaging based on the semantic network, wherein the messaging includes content that makes the messaging traceable to the at least one promoter.