Systems and methods for rule-based content generation
First Claim
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1. A computer-implemented system for facilitating automatic content generation, comprising:
- a rule management module adapted to receive a plurality of rules on content generation, wherein at least one of the plurality of rules is based upon at least one of factors comprising inventory data, point-of-sale data, locality, and day-part; and
a content generation module coupled to the rule management module and adapted to generate a content configuration, the content configuration comprising a plurality of content elements and one or more relationships among the plurality of content elements, wherein the plurality of rules comprises rules on relationships and the one or more relationships are in accordance with the plurality of rules, the content configuration operable to be assembled to a piece of content,wherein at least one of the plurality of content elements has more than one allowable position in the assembled piece of content,a visual attention model (VAM) evaluator that simulates neurological processes and psychological effects in a biological visual system, the VAM evaluator adapted to apply a VAM on the assembled piece of content to generate a VAM output and determine if the assembled piece of content satisfies the plurality of rules based on the VAM output, andwherein the rule management module and content generation module are stored on a computer readable storage medium.
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Abstract
At least one aspect of the present disclosure directs to a content generation system including a content generation module and a rule management module. The rule management module is adapted to receive a plurality of rules on content generation. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with the plurality of rules on content generation.
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Citations
12 Claims
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1. A computer-implemented system for facilitating automatic content generation, comprising:
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a rule management module adapted to receive a plurality of rules on content generation, wherein at least one of the plurality of rules is based upon at least one of factors comprising inventory data, point-of-sale data, locality, and day-part; and a content generation module coupled to the rule management module and adapted to generate a content configuration, the content configuration comprising a plurality of content elements and one or more relationships among the plurality of content elements, wherein the plurality of rules comprises rules on relationships and the one or more relationships are in accordance with the plurality of rules, the content configuration operable to be assembled to a piece of content, wherein at least one of the plurality of content elements has more than one allowable position in the assembled piece of content, a visual attention model (VAM) evaluator that simulates neurological processes and psychological effects in a biological visual system, the VAM evaluator adapted to apply a VAM on the assembled piece of content to generate a VAM output and determine if the assembled piece of content satisfies the plurality of rules based on the VAM output, and wherein the rule management module and content generation module are stored on a computer readable storage medium. - View Dependent Claims (2, 3, 4)
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5. A system, comprising:
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a content element repository adapted to store content elements; and an assembling module adapted to receive a content configuration comprising a plurality of content elements and one or more relationships among the plurality of content elements, the one or more relationships in accordance with a plurality of rules on content generation, wherein at least one of the plurality of rules is based upon at least one of factors comprising inventory data, point-of-sale data, locality, and day-part; wherein the assembling module is further adapted to assemble a piece of content based on the content configuration by arranging the plurality of content elements according to the one or more relationships; and a visual attention model (VAM) evaluator that simulates neurological processes and psychological effects in a biological visual system, the VAM evaluator adapted to apply a VAM on the assembled piece of content to generate a VAM output and determine if the assembled piece of content satisfies the plurality of rules based on the VAM output. - View Dependent Claims (6, 7, 8)
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9. A method for content generation, comprising:
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receiving a plurality of rules on content generation, wherein at least one of the plurality of rules is based upon at least one of factors comprising inventory data, point-of-sale data, locality, and day-part; and generating, by a processor, a content configuration comprising a plurality of content elements and one or more relationships among the plurality of content elements, the content configuration operable to be assembled to a piece of content, wherein the plurality of rules comprises rules on relationships among content elements, wherein the one or more relationships are in accordance with the plurality of rules, wherein at least one of the plurality of content elements has more than one allowable position in the assembled piece of content; and evaluating, by a visual attention model (VAM) evaluator that simulates neurological processes and psychological effects in a biological visual system applying a VAM on the assembled piece of content to generate a VAM output and determine if the assembled piece of content satisfies the plurality of rules based on the VAM output. - View Dependent Claims (10, 11, 12)
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Specification