Systems and methods for content generation and optimization using probability factors

A content optimization system, comprising:

• a rule management module maintaining a set of rules for content generation, the set of rules comprising a rule on probability factor, the rule on probability factor specifying a statistical probability that a piece of content expresses a particular value of a selected content attribute;
• a content generation module operative to generate a plurality of pieces of content based on the set of rules, the plurality of pieces of content designed with a particular optimization objective;
• and
• a content evaluation module operative to evaluate content performance on reaching the particular optimization objective based on data acquired when the plurality of pieces of content are displayed,
• wherein the content evaluation module is further operative to determine an aggregated performance data for the selected content attribute having the particular value based on the evaluated content performance,
• wherein the rule management module is operative to amend the rule on probability factor based on the aggregated content performance data.

A method comprising:

• receiving a first rule on probability factor and a second rule on probability factor, the first rule on probability factor defining a statistical probability that a piece of content expresses a first value of a selected content attribute, the second rule on probability factor defining a statistical probability that a piece of content expresses a second value of the selected content attribute, the second value being different from the first value;
• generating a plurality of pieces of content in accordance with the first rule on probability factor and the second rule on probability factor;
• collecting content performance data of the plurality of pieces of content when the plurality of pieces of content are in use;
• determining, by a processor, a first aggregated performance data for the first value of the selected content attribute based on the content performance data of the plurality of pieces of content;
• determining, by the processor, a second aggregated performance data for the second value of the selected content attribute based on the content performance data of the plurality of pieces of content;
• and
• modifying, by the processor, the first rule on probability factor and the second rule on probability factor based on both the first aggregated performance data and the second aggregated performance data.