Determining advertising placement on preprocessed content
First Claim
1. A method of determining advertising placement based on preprocessed content comprising:
- retrieving a first content available over a network;
identifying one or more first-type elements associated with the first content using a rule-based algorithm that selects the one or more first-type elements from a plurality of predefined elements associated with a topic, industry, or any combination thereof;
assigning a relevancy score to the one or more first-type elements based on relevancy of the one or more first-type elements to the first content; and
providing a narrower scope of an ad related topic based on the relevancy scores of the one or more first-type elements,wherein the plurality of predefined elements comprise a plurality of levels of specificity, and the assignment of the relevancy score includes multiplying the relevancy score for the first-type element by a level of specificity for the one or more first-types of elements.
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Accused Products
Abstract
Relationships are determined by disambiguation for preprocessing content. A first canonical identifier associated with a first element that can be represented in content in a plurality of forms is defined. A second canonical identifier associated with a second element that can be represented in content in a plurality of forms is defined. A first content available over a network is retrieved. An entity name element associated with the first content is identified. The entity name element being able to represent the first element and the second element. The entity name element is associated with the first element or the second element based on context associated with the first content.
30 Citations
17 Claims
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1. A method of determining advertising placement based on preprocessed content comprising:
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retrieving a first content available over a network; identifying one or more first-type elements associated with the first content using a rule-based algorithm that selects the one or more first-type elements from a plurality of predefined elements associated with a topic, industry, or any combination thereof; assigning a relevancy score to the one or more first-type elements based on relevancy of the one or more first-type elements to the first content; and providing a narrower scope of an ad related topic based on the relevancy scores of the one or more first-type elements, wherein the plurality of predefined elements comprise a plurality of levels of specificity, and the assignment of the relevancy score includes multiplying the relevancy score for the first-type element by a level of specificity for the one or more first-types of elements. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A system for determining advertising placement based on preprocessed content comprising one or more computing devices configured to:
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retrieve a first content available over a network; identify one or more first-type elements associated with the first content using a rule-based algorithm that selects the one or more first-type elements from a plurality of predefined elements associated with a topic, industry, or any combination thereof; assign a relevancy score to the one or more first-type elements based on relevancy of the one or more first-type elements to the first content; and provide a narrower scope of an ad related topic based on the relevancy scores of the one or more first-type elements, wherein the plurality of predefined elements comprise a plurality of levels of specificity, and the assignment of the relevancy score includes multiplying the relevancy score for the first-type element by a level of specificity for the one or more first-types of elements.
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17. A computer program product, tangibly embodied in a non-transitory data storage medium, the computer program product including instructions being operable to cause a data processing apparatus to:
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retrieve a first content available over a network; identify one or more first-type elements associated with the first content using a rule-based algorithm that selects the one or more first-type elements from a plurality of predefined elements associated with a topic, industry, or any combination thereof; assign a relevancy score to the one or more first-type elements based on relevancy of the one or more first-type elements to the first content; and provide a narrower scope of an ad related topic based on the relevancy scores of the one or more first-type elements, wherein the plurality of predefined elements comprise a plurality of levels of specificity, and the assignment of the relevancy score includes multiplying the relevancy score for the first-type element by a level of specificity for the one or more first-types of elements.
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Specification