Indexing and tag generation of content for optimal delivery of invitational content
First Claim
1. A method comprising:
- analyzing, by a processor, a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises;
text-processing the first content to identify non-extraneous terms;
ignoring extraneous terms determined to carry no meaningful substantive or contextual information;
converting the non-extraneous terms into their base form by eliminating suffixes;
normalizing the non-extraneous terms to lowercase letters; and
determining a number of times each of the non-extraneous terms appears in the first content;
analyzing, by the processor, a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content;
determining, by the processor, that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and
when the primary-content source and the invitational content item are correlated, delivering, by the processor, the invitational content item to a user in response to the user accessing the primary-content source.
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Abstract
The present technology is directed to improving the conversion rate of invitational content that is provided to the user of an interactive, content-receiving-and-displaying device. The content of a large number of primary-content sources is analyzed and keyword and/or other context-providing information is extracted from the primary-content sources. The keyword and/or other context-providing information is used to index the primary-content sources into an index according to a hierarchical taxonomy; the hierarchical taxonometric index is used to identify primary-content sources with which a given item of invitational content correlates; and the given item of invitational content is delivered to a user in response to the user accessing a primary-content source with which the given item of invitational content correlates.
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Citations
15 Claims
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1. A method comprising:
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analyzing, by a processor, a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises; text-processing the first content to identify non-extraneous terms; ignoring extraneous terms determined to carry no meaningful substantive or contextual information; converting the non-extraneous terms into their base form by eliminating suffixes; normalizing the non-extraneous terms to lowercase letters; and determining a number of times each of the non-extraneous terms appears in the first content; analyzing, by the processor, a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content; determining, by the processor, that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and when the primary-content source and the invitational content item are correlated, delivering, by the processor, the invitational content item to a user in response to the user accessing the primary-content source. - View Dependent Claims (2, 3, 4, 5)
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6. A content delivery system comprising:
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a processor; and a memory containing instructions that, when executed, cause the processor to; analyze a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises; text-processing the first content to identify non-extraneous terms; ignoring extraneous terms determined to carry no meaningful substantive or contextual information; converting the non-extraneous terms into their base form by eliminating suffixes; normalizing the non-extraneous terms to lowercase letters; and determining a number of times each of the non-extraneous terms appears in the first content; analyze a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content; determine that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and when the primary-content source and the invitational content item are correlated, deliver the invitational content item to a user in response to the user accessing the primary-content source. - View Dependent Claims (7, 8, 9, 10)
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11. A non-transitory computer-readable medium containing instruction that, when executed by a computing device, cause the computing device to:
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analyze a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises; text-processing the first content to identify non-extraneous terms; ignoring extraneous terms determined to carry no meaningful substantive or contextual information; converting the non-extraneous terms into their base form by eliminating suffixes; normalizing the non-extraneous terms to lowercase letters; and determining a number of times each of the non-extraneous terms appears in the first content; analyze a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content; determine that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and when the primary-content source and the invitational content item are correlated, deliver the invitational content item to a user in response to the user accessing the primary-content source. - View Dependent Claims (12, 13, 14, 15)
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Specification