Local content management & distribution system

• US 20090265219A1
• Filed: 04/16/2009
• Published: 10/22/2009
• Est. Priority Date: 04/17/2008
• Status: Active Grant

• Current Assignee: Eggzack, Inc.
• Original Assignee: Eggzack, Inc.
• Inventors: Morrison, Richard V. JR., Zaccagnino, Jon Scott
• Granted Patent: US 8,447,642 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 20/1235 with control of digital rights management [DRM]
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A method and system for the publishing, management and distribution of local content via a plurality of Internet media types. The method and system provides for single entry of local content and automated mass distribution via the Internet. A key component of the method and system is the categorizing and organizing of local content at the point of publishing by the system and/or author of the local content which allows for delivery and/or placement of the local content to a more relevant reader across the plurality of Internet media types.

Claims

1. A system for consumers (readers) of local content to define what types and/or from which authors they want to receive local content.

2. The system of claim 1 wherein consumers define what local content they desire to receive by providing their personal demographics which allows the system to filter and/or recommend local content for them to receive.

3. The system of claim 1 wherein consumers may automatically subscribe to a specific local content author at any time or as they are viewing their particular local content, information or demographics.

4. The system of claim 1 wherein the system may suggest, based upon a consumer'"'"'s demographics, historical use, geographic, consumer defined data and projected use, local content types and/or authors for the consumers to subscribe to.

5. The system of claim 1 wherein the consumers can receive their predefined local content across a plurality of internet media types

6. A system for local content to be published, and then organized and categorized at the point of publishing comprised of:

a. A web based publishing system.

b. Category strings and content types for categorizing and organizing the local content respectively.

7. The system of claim 6 wherein the category strings are defined as an up to three (3) level categorization system consisting of a category, and possibly;

its subcategories; and

its subcategories, tertiary categories.

9. The system of claim 7 wherein the category strings are defined as an up to three (3) level categorization system consisting of a category, and possibly;

its subcategories; and

its subcategories, tertiary categories.

8. A method for the author to categorize and organize their local content at the point of publishing comprised of:

a. Category strings and content types for categorizing and organizing the local content

b. A system that facilitates the author in their manual selections based upon their demographics and geographic data.

c. A system that facilitates the author in their manual selections based upon industry specific practices.

10. A system to suggest local content categorization and organization to authors of local content comprised of

a. A system that facilitates the author in their selection based upon their demographics

11. A system to automate the distribution of local content via a plurality of Internet medias.

12. The system of claim 11 wherein the system manages Websites content and navigation, in whole or in part via the system itself, web services and/or application program interfaces (API'"'"'s).

13. The system of claim 11 wherein the system provides automated insertion of local content into emails and/or email marketing.

14. The system of claim 11 wherein the system automates the indexing, categorizing and tagging of local content for better search engine placement.

15. The system of claim 14 wherein the system uses search engine optimization industry standards and/or proprietary algorithms for indexing local content.