Sorting information by relevance to individuals with passive data collection and real-time injection

• US 9,424,302 B2
• Filed: 10/22/2015
• Issued: 08/23/2016
• Est. Priority Date: 08/04/2014
• Status: Active Grant

• Current Assignee: Media Group of America Holdings, LLC
• Original Assignee: Media Group of America Holdings, LLC
• Inventors: Skatell, Alexander Hoke, Sceusa, Carl Joseph, Wojtonis, Adam, Vuljaj, Anton
• Primary Examiner(s): Ortiz Ditren, Belix M
• Application Number:
  US14/920,756
• Publication Number:
  US 20160050247A1
• Time in Patent Office: 306 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/2462 Approximate or statistical queries
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/3326 using relevance feedback from the user, e.g. relevance feedback on documents, documents sets, document terms or passages
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 7/24 Sorting, i.e. extracting data from one or more carriers, rearranging the data in numerical or other ordered sequence, and rerecording the sorted data on the original carrier or on a different carrier or set of carriers sorting methods in generalG06F7/36 takes precedence
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: H04L 65/612 for unicast
• CPC Class Codes: H04L 65/613 for the control of the source by the destination control signals issued by the client directed to the server or network components specially adapted for selective content distribution H04N21/637
• CPC Class Codes: H04L 67/306 User profiles

Abstract

In one aspect, data, such as information articles, is sorted and prioritized based on a plurality of factors, such as user interest and popularity of data with respect to other users. The data is sorted by initial personal (i.e., user) data, sorted by the most relevant to the user, while passive interaction data is used to continually reorder the articles in real-time, while new stories are being injected into the stream in real time, all while other articles are increasing/decreasing in stature based on popularity with regard to other users and time decay. As such, the system provides that the information is fed to users in an efficient manner, in a manner based on time relevance, assumed interest with regard to that given user based on past actions by that user or information otherwise known about that user, as well as interest in the articles demonstrated by other users.

Claims

1. Non-transitory computer-readable storage media encoded with a computer program including instructions executable by a processor to create an application comprising:

(a) a software module configured to receive information from an information source on the Internet;

(b) a software module configured to assign one or more attributes to the information;

(c) a software module configured to receive user data from a user, wherein the user data is modeled probabilistically and comprises one or more of;

demographic information of the user, an interest of the user, and past preferable information of the user;

(d) a software module configured to sort the information and identify preferable information from the information sorting, wherein the identifying the preferable information from the information sorting is based on a timeline of an event disclosed in a plurality of information contents;

(e) a software module configured to present the preferable information to the user;

(f) a software module configured to receive passive feedback and active feedback from the user regarding the preferable information presented to the user, and update the user data with the passive and active feedback;

(g) a software module configured to generate global feedback from the passive and the active feedback from all users; and

(h) a software module configured to implement a feedback and results query loop, and reorder the preferable information presented to the user based on the receipt of the passive feedback, the active feedback, the global feedback, and the timeline of the event.

2. The media of claim 1, provided that the information comprises one or more of the following:

an article, a message, a text, a video file, an audio file, a table, a database, and an RSS feed.

3. The media of claim 1, provided that the information source comprises one or more of the following:

a website, a publisher, an author, a social medium, a news provider, a freelancer, a writer, an individual, a corporate entity, and a government agency.

4. The media of claim 1, provided that the one or more attributes comprise one or more of the following:

a location, popularity, a target audience, an author, a country, and a category of an information content.

5. The media of claim 1, provided that the passive feedback comprises one or more of the following actions:

moving a mobile device, clicking a button, wiping the preferable information, flicking the preferable information, sliding the preferable information, swiping the preferable information, a length of time the user accessing the preferable information, a location the user accessing the preferable information, and a device on which the user accessing the preferable information.

6. The media of claim 1, provided that the sorting the information comprises one or more of the following:

analyzing demographic information of the user, comparing the data of the user with data of another user, analyzing the passive feedback from the user, analyzing a time when the information is generated at the information source, analyzing the information source, analyzing popularity of the information in the general public, and analyzing popularity of the information among the user'"'"'s friends.

7. The media of claim 1, provided that the identifying the preferable information from the information sorting comprises making duplicate and non-original information less preferable and making newly-updated and original information more preferable.

8. A computer-implemented system, the system comprising:

(a) a digital signal processor;

(b) a memory module and an operating system configured to execute computer instructions to create an application, the application comprising;

(1) a software module configured to receive information from an information source on the Internet;

(2) a software module configured to assign one or more attributes to the information;

(3) a software module configured to receive user data from a user, wherein the user data is modeled probabilistically and comprises one or more of;

demographic information of the user, an interest of the user, and past preferable information of the user;

(4) a software module configured to sort the information and identify preferable information from the information sorting, wherein the identifying the preferable information from the information sorting is based on a timeline of an event disclosed in a plurality of information contents;

(5) a software module configured to present the preferable information to the user;

(6) a software module configured to receive passive feedback and active feedback from the user regarding the preferable information presented to the user, and update the user data with the passive and active feedback;

(7) a software module configured to generate global feedback from the passive and the active feedback from all users; and

(8) a software module configured to implement a feedback and results query loop, and reorder the preferable information presented to the user based on the receipt of the passive feedback, the active feedback, the global feedback, and the timeline of the event.

9. The system of claim 8, provided that the information comprises one or more of the following:

an article, a message, a text, a video file, an audio file, a table, a database, and an RSS feed.

10. The system of claim 8, provided that the information source comprises one or more of the following:

a website, a publisher, an author, a social medium, a news provider, a freelancer, a writer, an individual, a corporate entity, and a government agency.

11. The system of claim 8, provided that the one or more attributes comprise one or more of the following:

a location, popularity, a target audience, an author, a country, and a category of an information content.

12. The system of claim 8, provided that the passive feedback comprises one or more of the following actions:

moving a mobile device, clicking a button, wiping the preferable information, flicking the preferable information, sliding the preferable information, swiping the preferable information, a length of time the user accessing the preferable information, a location the user accessing the preferable information, and a device on which the user accessing the preferable information.

13. The system of claim 8, provided that the sorting the information comprises one or more of the following:

analyzing demographic information of the user, comparing the data of the user with data of another user, analyzing the passive feedback from the user, analyzing a time when the information is generated at the information source, analyzing the information source, analyzing popularity of the information in the general public, and analyzing popularity of the information among the user'"'"'s friends.

14. The system of claim 8, provided that the identifying the preferable information from the information sorting comprises making duplicate and non-original information less preferable and making newly-updated and original information more preferable.

15. A method implemented by a computing device, the method comprising:

(a) receiving, by the computing device, information from an information source on the Internet;

(b) assigning, by the computing device, one or more attributes to the information;

(c) receiving, by the computing device, user data from a user, wherein the user data is modeled probabilistically and comprises one or more of;

demographic information of the user, an interest of the user, and past preferable information of the user;

(d) sorting, by the computing device, the information and identify preferable information from the information sorting, wherein the identifying the preferable information from the information sorting is based on a timeline of an event disclosed in a plurality of information contents;

(e) presenting, by the computing device, the preferable information to the user; and

(f) receiving, by the computing device, passive feedback and active feedback from the user regarding the preferable information presented to the user, and update the user data with the passive and active feedback;

(g) generating, by the computing device, global feedback from the passive and the active feedback from all users; and

(h) implementing, by the computing device, a feedback and results query loop, and reorder the preferable information presented to the user based on the receipt of the passive feedback, the active feedback, the global feedback, and the timeline of the event.

16. The method of claim 15, provided that the information comprises one or more of the following:

an article, a message, a text, a video file, an audio file, a table, a database, and an RSS feed.

17. The method of claim 15, provided that the information source comprises one or more of the following:

a website, a publisher, an author, a social medium, a news provider, a freelancer, or a writer, an individual, a corporate entity, a government agency.

18. The method of claim 15, provided that the one or more attributes comprises one or more of the following:

a location, popularity, a target audience, an author, a country, or a category of an information content.

19. The method of claim 15, provided that the passive feedback comprises one or more of the following actions:

moving a mobile device, clicking a button, wiping the preferable information, flicking the preferable information, sliding the preferable information, swiping the preferable information, a length of time the user accessing the preferable information, a location the user accessing the preferable information, and a device on which the user accessing the preferable information.

20. The method of claim 15, provided that (1) the sorting the information comprises one or more of the following:

analyzing demographic information of the user, comparing the data of the user with data of another user, analyzing the passive feedback from the user, analyzing a time when the information is generated at the information source, analyzing the information source, analyzing popularity of the information in the general public, and analyzing popularity of the information among the user'"'"'s friends; and

(2) the identifying the preferable information from the information sorting comprises making duplicate and non-original information less preferable and making newly-updated and original information more preferable.