Indexing and tag generation of content for optimal delivery of invitational content

A content delivery system comprising:

• 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.

A non-transitory computer-readable medium containing instruction that, when executed by a computing device, cause the computing device 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.