SYSTEM AND METHOD FOR ITERATIVE ANALYSIS OF INFORMATION CONTENT

• US 20140101134A1
• Filed: 10/09/2012
• Published: 04/10/2014
• Est. Priority Date: 10/09/2012
• Status: Abandoned Application

• Current Assignee: A6 Corp.
• Original Assignee: SocialForce, Inc.
• Inventors: Bohrer, Richard A., Urschel, William P., Underwood, John C., Maliska, Thomas P. Jr.
• Application Number:
  US13/648,120
• Publication Number:
  US 20140101134A1
• Time in Patent Office: Days
• US Class Current: 707/722
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

The present invention is directed to a system and method enabling the tracking of users, content and actions in respect to online content; assigning topics to online content; providing such information for analysis at a central systems; and providing an overview of users, content and actions in the aggregate. The processing of online interactions permits tracking users, identifying influential content and users, identifying the type of interactions that users prefer with respect to specific content, and so forth. As such, the system permits targeted and informed interactions with users and content sites, which recommendations are of value to, among others, online publishers, advertisers, search engines and users.

Claims

1. A method for iterative collection of information content, comprising:

identifying a content source associated with a first user;

identifying a user action of the first user related to the content source;

if association with a content topic is desired, correlating the content source with at least one content topic;

if the user was referred to the content source from a referral source,

identifying the referral source; and

if the referral source is associated with a content topic, correlating the referral source with at least one content topic associated with the referral source;

storing identification of the first user, the content source, the first user action, the identity of the referral source, if any, and the results of the correlation of the content source with content topics in a catalog server;

if the first user refers the content source to a second user,

identifying at least one second user action related to the content source;

storing identification of the second user, the content source, the second user action, the identity of the referring first user, and the results of the correlation the content source with content topics in the catalog server; and

merging the results of the correlation of the second user action related to the content source with the results of the correlation of the first user action related to the content source; and

storing the merged results in the catalog server.

2. The method of claim 1, further comprising if previous results of the correlation of prior user actions related to content sources exist, merging the results of the correlation of the first user action related to the content source with the results of the correlation of the prior user actions related to content sources.

3. The method of claim 2, further comprising if the first user refers the content source to a second user, merging the results of the correlation of the second user action related to the content source with the results of the correlation of the prior user action related to the content source.

4. The method of claim 1, wherein the content source comprises at least one of a social media post, website, blog, advertisement, product review or online publication.

5. The method of claim 1, wherein the user action comprises at least one of viewing, consuming or sharing related to the content source.

6. The method of claim 1, wherein the referral source comprises at least one of a user, a content source or a location.

7. A method for analysis of information content based on a user action related to a content source, comprising:

retrieving information about the identification of the user, the content source, the user action related to the content source, the identity of a referral source, if any, and the results of correlation the content source with content topics from a catalog server;

assigning a ranking to at least one of the identified user, the content source, the content topic and the referral source based on a predetermined criteria;

determining a polarity measure as a function of the content source; and

generating an influence measure associated with at least one of the identified user, the content source, the content topic and the referral source as a function of the ranking and polarity measures.

8. The method of claim 7, wherein the ranking associated with the identification of the user, the content source, the user action, the identity of a referral source, if any, and the results of correlation of the user action related to the content source with at least one content topic is assigned as a function of a probability distribution.

9. The method of claim 7, wherein the content source comprises at least one of a social media post, website, blog, advertisement, product review or online publication.

10. The method of claim 7, wherein the user action comprises at least one of viewing, consuming or sharing related to the content source.

11. The method of claim 7, wherein the referral source comprises at least one of a user, a content source or a location.

12. The method of claim 7, wherein polarity is determined as a function of at least one of the identified user, the user action, the content source, or the referral source.

13. A method for publication of a measure of influence of a user, a content source and at least one content topic stored in a catalog server, comprising:

receiving a query from a subscriber regarding the measure of influence of at least one of the user, the content source or the at least one content topic stored in the catalog server;

filtering an influence measure associated with the user, the content source and the at least one content topic from the catalog server as a function of the subscriber query to produce a query result;

generating a graphical output of the query result;

storing the query result and graphical output on a catalog server; and

providing the subscriber with at least one of the query result or graphic output of the query result.

14. The method of claim 13, wherein the content source comprises at least one of a social media post, website, blog, advertisement, product review or online publication.

15. The method of claim 13, wherein the user action comprises at least one of viewing, consuming or sharing related to the content source.

16. A system for iterative collection, analysis and publication of information content, comprising:

a content source;

an input device configured to receive a user action related to the content source;

a component configured to correlate the user action related to the content source with at least one content topic;

a content storage device configured to store identification of the user, the content source and the user action, and the results of correlation of the user action related to the content source with at least one content topic

a component configured to receive a subscriber query regarding the measure of influence of at least one of the user, the content source or the at least one content topic;

a component configured to analyze the subscriber inquiry by;

assigning a ranking to at least one of the identified user, the content source, the content topic and the referral source based on a predetermined criteria;

determining a polarity measure as a function of the content source; and

generating an influence measure associated with at least one of the identified user, the content source, the content topic and the referral source as a function of the ranking and polarity measure; and

a graphical generator configured to generate a graphical output in response to the subscriber query.

17. The system of claim 16, wherein the content source comprises at least one of a social media post, website, blog, advertisement, product review or online publication.

18. The system of claim 16, wherein the user action comprises at least one of viewing, consuming or sharing related to the content source.

19. A method for iterative collection of information content, comprising:

identifying an event;

if the event occurred based on involvement of a referral source, identifying the referral source;

identifying a content source associated with the event;

if association with a content topic is desired, identify at least one content topic;

identifying a viewing user of the content source;

if the content source was shared to the viewing user by a sharing user, identifying the sharing user;

storing identification of the event, the viewing and sharing users, the referral source, the content source and the content topic, if any, in a catalog server;

merging the data stored in the catalog server; and

storing the merged results in the catalog server.

20. The method of claim 19, wherein the event comprises at least one of viewing, consuming or sharing related by a user related to the content source.

21. The method of claim 19, wherein the referral source comprises at least one of a user, a content source or a location.

22. The method of claim 19, wherein the content source comprises at least one of a social media post, website, blog, advertisement, product review or online publication.

23. The method of claim 19, further comprising:

retrieving stored data about the event, the viewing and sharing users, the referral source, the content source and the content topic, if any, from the catalog server;

assigning a ranking to at least one of the identified viewing or sharing users, the referral source, the content source and the content topic, if any, based on a predetermined criteria;

determining a polarity measure as a function of the content source; and

generating an influence measure associated with at least one of the identified viewing and sharing users, the referral source, the content source or the content topic as a function of the ranking and polarity measures.

24. The method of claim 23, further comprising:

receiving a query from a subscriber regarding the measure of influence of at least one of the viewing or sharing users, the referral source, the content source or the content topic, if any, stored in the catalog server;

filtering an influence measure associated with at least one of the viewing or sharing users, the referral source, the content source and the content topic from the catalog server as a function of the subscriber query to produce a query result;

generating a graphical output of the query result;

storing the query result and graphical output on the catalog server; and

providing the subscriber with at least one of the query result or graphic output of the query result.