Systems and methods for rule-based content generation

• US 9,811,608 B2
• Filed: 01/10/2013
• Issued: 11/07/2017
• Est. Priority Date: 01/16/2012
• Status: Active Grant

• Current Assignee: 3M Innovative Properties Company (3M Company)
• Original Assignee: 3M Innovative Properties Company (3M Company)
• Inventors: Arsenault, Frederick J., Brooks, Brian E.
• Primary Examiner(s): Chen, Alan
• Application Number:
  US14/371,379
• Publication Number:
  US 20140365876A1
• Time in Patent Office: 1,762 Days
• Field of Search: None
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

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.

Claims

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, and

wherein the rule management module and content generation module are stored on a computer readable storage medium.

2. The system of claim 1, further comprising:

an assembling module adapted to assemble the content configuration to a piece of content by arranging the plurality of content elements according to the one or more relationships.

3. The system of claim 1, wherein the plurality of rules further comprises rules on content elements, rules on metric adjustments, or rules on visual perception.

4. The system of claim 1, wherein the content configuration further comprises a metric adjustment of one of the plurality of content elements.

5. A system, comprising:

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.

6. The system of claim 5, wherein the content configuration further comprises a metric adjustment of one of the plurality of content element, and wherein the assembling unit is further adapted to assemble the piece of content by arranging the one of the plurality of content elements according to the metric adjustment.

7. The system of claim 5, wherein the assembling module is further configured to assemble the piece of content according to characteristics of a target display.

8. The system of claim 5, wherein the plurality of rules comprises rules on relationships, rules on content elements, rules on metric adjustments, or rules on visual perception.

9. A method for content generation, comprising:

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.

10. The method of claim 9, further comprising:

assembling, by a processor, the content configuration to a piece of content by arranging the plurality of content elements according to the one or more relationships.

11. The method of claim 9, wherein the plurality of rules further comprises rules on content elements, rules on metric adjustments, or rules on visual perception.

12. The method of claim 9, wherein the content configuration further comprises a metric adjustment of one of the plurality of content elements, wherein the assembling step comprises arranging the one of the plurality of content elements according to the metric adjustment.