Event based document sorter and method

• US 9,740,731 B2
• Filed: 08/14/2008
• Issued: 08/22/2017
• Est. Priority Date: 08/14/2007
• Status: Expired due to Fees

• Current Assignee: John Nicholas and Kristin Gross Trust U/A/D April 13 2010
• Original Assignee: John Nicholas and Kristin Gross Trust U/A/D April 13 2010
• Inventors: Gross, John Nicholas
• Primary Examiner(s): Mamillapalli, Pavan
• Application Number:
  US12/191,951
• Publication Number:
  US 20090048927A1
• Time in Patent Office: 3,295 Days
• Field of Search: 707725, 707787
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/95 Retrieval from the web
• 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 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0243 Comparative campaigns
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

Events and/or topics are studied and classified according to their temporal qualities to determine their relative state. The content of a document relating to such event/topic is analyzed to identify temporal components. These components can be compared with corresponding counterparts in other documents to identify a relative temporal order. The invention can be used in environments such as automated news aggregators, search engines, and other electronic systems which compile information having temporal qualities.

Claims

1. A method of automatically sorting sports related news stories by their temporal characteristics using a computing system comprising:

a) identifying a first sporting event;

wherein said first sporting event is assigned by the computing system to a plurality of different event status states each representing a different temporal period within a temporal sequence defined for such first sporting event;

b) analyzing a first electronic document describing said first sporting event with the computing system to identify first content snippets determinative of a first status state of said sporting event relative to completion and/or resolution;

c) analyzing a second electronic document with second content snippets describing a second status state for said first sporting event with the computing system; and

d) determining which of said first and second electronic documents contains content describing a more current status of said sporting event by comparing said first status state to said second status state and generating an output with the computing system indicating which of said electronic documents describes the more current status;

wherein changes in corresponding content snippets relating to completion and/or resolution of such first sporting event are tracked between documents and used by the computing system to derive a relative temporal relationship between said first electronic document and said second electronic document.

2. The method of claim 1 wherein said first sporting event is one of a baseball game, a football game, a hockey game, and/or a basketball game.

3. The method of claim 1 wherein said content snippets can include semantic variants of teams, players and contestants in said sporting event.

4. The method of claim 1 further including steps:

automatically identifying a geographic site associated with said first sporting event; and

automatically selecting a target set of individuals and/or a target local content sources associated with said geographic site to be used in collecting data relating to said first sporting event.

5. The method of claim 1 wherein advertising is presented to viewers of said first or second electronic documents based on a status state identified for said first sporting event, including a score or progress of said event.

6. The method of claim 1 wherein advertising is presented to viewers of said first or second electronic documents based on a temporal sequence identified for such electronic documents.

7. The method of claim 1 wherein said steps are implemented as one or more computer software routines stored in a tangible media and adapted to cause one or more computing systems to perform the operations recited therein.

8. The method of claim 1 wherein temporally related information concerning said electronic documents is collected from a plurality of online sources, including blog, message boards and/or social networking sites.

9. The method of claim 1 further including a step:

predicting a subsequent event state for said first sporting event with the computing system from said plurality of event states assigned to said first sporting event, based on determining a current event state.

10. The method of claim 1 further including a step:

verifying said second state for the first sporting event by computing a prevalence rate for content identifying such second state in a set of benchmark sites and confirming said prevalence rate is within a particular range.

11. The method of claim 1 wherein subject/predicate pairs are tracked in said content snippets and weighted by the computing system in accordance with their temporal significance to determine said temporal related value.

12. The method of claim 1 wherein said relative temporal relationship derived between said first electronic document and said second electronic document is used by a search engine to order results of a search query directed to said first sporting event.

13. A method of automatically sorting disaster and/or accident related news stories by their temporal characteristics using a computing system comprising:

a) identifying a first news vent involving a disaster and/or accident related event;

wherein said first news event is associated by the computing system with a plurality of corresponding event status states defined for a progress template for such first news event;

wherein said event status states are associated by the computing system with content for the first news event which is distinctive to different temporal periods within said progress template;

b) analyzing a first electronic document describing said first event with the computing system to identify first content snippets determinative of a first status state of said first news event relative to said event status states defined for said progress template;

c) analyzing a second electronic document with second content snippets describing a second status state for said first news event with the computing system; and

d) determining which of said first and second electronic documents contains content describing a more current status state of said first event by comparing said first status state to said second status state and generating an output with the computing system indicating which of said electronic documents describes the more current status state;

wherein changes in corresponding content snippets relating to one of least property damage, loss of lives, injuries survivors and/or an absolute time of such first event are tracked between documents and used by the computing system to derive a relative temporal relationship between said first electronic document and second electronic document.

14. The method of claim 13 wherein advertising is presented to viewers of said first or second electronic documents based on a state identified for said first disaster and/or accident related event, including a progress of said first news event.

15. The method of claim 13 wherein advertising is presented to viewers of said first or second electronic documents based on a temporal sequence identified for such electronic documents.

16. The method of claim 13 wherein said steps are implemented as one or more computer software routines stored in a tangible media and adapted to cause one or more computing systems to perform the operations recited therein.

17. The method of claim 13 wherein temporally related information concerning said electronic documents is collected from a plurality of online sources, including blog, message boards and/or social networking sites.

18. The method of claim 13 further including a step:

predicting a subsequent event state for said first news event with the computing system from said plurality of event states assigned to said first news event, based on determining a current event state.

19. The method of claim 13 further including a step:

predicting a subsequent location for said first news event with the computing system based on determining a current location.

20. The method of claim 13 further including a step:

verifying said second state for the first news event by computing a prevalence rate for content identifying such second state in a set of benchmark sites and confirming said prevalence rate is within a particular range.

21. The method of claim 13 wherein subject/predicate pairs are tracked in said content snippets and weighted by the computing system in accordance with their temporal significance to determine said temporal related value.

22. The method of claim 13 wherein said relative temporal relationship derived between said first electronic document and said second electronic document is used by a search engine to order results of a search query directed to said first sporting event.

23. A method of automatically sorting election related news stories by their temporal characteristics using a computing system comprising:

a) identifying a first event involving an election;

wherein said first event is associated by the computing system with a plurality of corresponding event status states defined for a progress template for such first event;

wherein said event status states are associated by the computing system with content for the event which is distinctive to different temporal periods within said progress template;

b) analyzing a first electronic document describing said first event with the computing system to identify first content snippets determinative of a first status state of said first event relative to said event status states defined for said progress template;

c) analyzing a second electronic document with second content snippets describing a second status state for said first event with the computing system; and

d) determining which of said first and second electronic documents contains content describing a more current status state of said election by comparing said first status state to said second status state and generating an output with the computing system indicating which of said electronic documents describes the more current status state;

wherein changes in corresponding content snippets relating to one of least voting percentages, vote counts, candidate percentages and/or an absolute time of such first event are tracked between documents and used by the computing system to derive a relative temporal relationship between said first electronic document and second electronic document.

24. The method of claim 23 wherein said methods are implemented as one or more computer software routines stored in a tangible media and adapted to cause a computing system to perform the operations recited therein.

25. The method of claim 23 wherein said electronic documents are sourced and captured from web page viewings made by online Internet users.

26. The method of claim 23 wherein temporally related information concerning said electronic documents is communicated to said users.

27. The method of claim 23 wherein advertising is presented to viewers of said first or second electronic documents based on a state identified for said election event, including a progress of said event.

28. The method of claim 23 wherein advertising is presented to viewers of said first or second electronic documents based on a temporal sequence identified for such electronic documents.

29. The method of claim 23 wherein temporally related information concerning said electronic documents is collected from a plurality of online sources, including blog, message boards and/or social networking sites.

30. A method of automatically sorting sports related news stories by their temporal characteristics using a computing system comprising:

a) identifying a first sporting event;

wherein said first sporting event is assigned by the computing system to a plurality of different event status states each representing a different temporal period within a temporal sequence defined for such first sporting event;

b) analyzing a first electronic document describing said first sporting event with the computing system to identify first content snippets determinative of a first status state of said sporting event relative to completion and/or resolution;

c) analyzing a second electronic document with second content snippets describing a second status state for said first sporting event with the computing system; and

d) ordering said first and second electronic documents temporally relative to one another at least in part by tracking changes in corresponding content snippets in each document that disclose a score and/or an absolute time of the first sporting event to determine which of said first and second electronic documents contains content describing a more current status of said sporting event; and

e) generating an output with the computing system indicating which of said electronic documents describes the more current status.

31. The method of claim 30, further comprising repeating steps (b)-(e) for a plurality of electronic documents.