Method for predicting news content
First Claim
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1. A method of predicting content of a news story with a computing system comprising:
- a) identifying a first event described in first content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains;
b) automatically determining a plurality of different alternative predicted states for said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type;
wherein prior published content describing said prior events is processed to generate new predicted content describing said plurality of different alternative predicted states for said first event;
c) automatically generating queries to said knowledge domain and/or at least one search engine to locate published new content associated with said plurality of different predicted states;
d) presenting search results or news stories to a user with the computing system which includes at least some of said new published content when such is identified at step (c).
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Abstract
A news and/or search engine system predicts events and stories based on existing events, stories, etc., extracted from a knowledge domain. These predictions can be used for a number of different purposes, including locating new content and actual event outcomes.
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Citations
60 Claims
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1. A method of predicting content of a news story with a computing system comprising:
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a) identifying a first event described in first content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically determining a plurality of different alternative predicted states for said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; wherein prior published content describing said prior events is processed to generate new predicted content describing said plurality of different alternative predicted states for said first event; c) automatically generating queries to said knowledge domain and/or at least one search engine to locate published new content associated with said plurality of different predicted states; d) presenting search results or news stories to a user with the computing system which includes at least some of said new published content when such is identified at step (c). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method of predicting content of a future unpublished news story with a computing system comprising:
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a) identifying a first event described in existing content published at a first time in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically predicting new future content for a plurality of different alternative future unpublished stories for said first event or updates to said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; wherein prior published content describing said prior events is processed to generate said new predicted future content describing said plurality of different alternative future unpublished stories for said first event. - View Dependent Claims (19, 20, 21)
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22. A method of determining with a computing system an outcome of an event described in a news story comprising:
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a) identifying a first event described in content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically determining a plurality of different alternative predicted states for said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; wherein prior published content describing said prior events is processed to generate new predicted content describing said plurality of different alternative predicted states for said first event; c) automatically generating queries to said knowledge domain and/or at least one search engine to locate published new content associated with said plurality of different predicted states; d) automatically determining with the computing system which of said plurality of different alternative predicted states is an actual outcome which has occurred based on analyzing a substance of said new content; e) presenting said actual outcome as part of a news story and/or a search engine result. - View Dependent Claims (23, 24, 25, 26, 27)
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28. A method of predicting content of a news story with a computing system comprising:
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a) identifying a first event described in first content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically determining a plurality of different alternative predicted states for said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; c) automatically generating queries to said knowledge domain and/or at least one search engine to locate published new content associated with said plurality of different predicted states; d) presenting search results or news stories to a user with the computing system which includes at least some of said new published content when such is identified at step (c); e) generating a set of future sources to be consulted for said new content based on predicted changes in a state of said first event. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38)
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39. A method of predicting content of a future unpublished news story with a computing system comprising:
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a) identifying a first event described in content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically predicting future content for a plurality of different alternative future unpublished stories for said first event or updates to said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; wherein said future content is derived from content of prior stories describing said prior events; c) automatically searching for a numerical outcome associated with said first event by querying at least one of a social network, message board, blog and/or search engine. - View Dependent Claims (40, 41, 42, 43, 44, 45, 46, 47, 48, 49)
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50. A method of determining with a computing system an outcome of an event described in a news story comprising:
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a) identifying a first event described in content published in a knowledge domain including one or more social network domains, news content domains, blog domains and/or message board domains; b) automatically determining a plurality of different alternative predicted states for said first event, based on a comparison of characteristics of said first event to characteristics of prior events of a same type; c) automatically generating queries to said knowledge domain and/or at least one search engine to locate published new content associated with said plurality of different predicted states; d) automatically determining with the computing system which of said plurality of different alternative predicted states is an actual outcome which has occurred based on analyzing a substance of said new content; e) presenting said actual outcome as part of a news story and/or a search engine result within a graphical interface; wherein said first event includes a numerical score or value correlated to a state of said first event, which numerical score or value includes a template that is used to analyze a temporal order of said new content. - View Dependent Claims (51, 52, 53, 54, 55, 56, 57, 58, 59, 60)
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Specification