Systems and methods for enhanced concept mapping with associated dimension layers for intent determination

A computer network apparatus comprising:

• a memory;
• and
• a processor coupled to the memory and configured to:
• generate a plurality of concept profiles, each concept profile being a first data structure including at least one concept and at least one dimension layer associated with the concept, wherein the concept profiles are determined by a web crawling server crawling a plurality of content nodes on a computer network and identifying concepts and context within the content of the content nodes;
• receive client data for deliverable content;
• apply the concept profiles generated by the web crawling server to the provided client data to generate a client model, the client model being a second data structure associated with each client with deliverable content;
• apply the generated concept profiles to content placement nodes within an inventory channel to generate inventory profiles each inventory profile being a third data structure associated with each content placement node in the inventory channel, wherein each inventory profile includes a concept graph for each concept identified on each content node and a dimension layer in the concept graph for each identified concept;
• determine a correlation between at least one of the inventory profiles and a client model;
• and
• place client deliverable content on a selected content placement node of the inventory channel based on the determined correlation.

A non-transitory computer readable media storing instructions for a computer process for delivering content on a computer network comprising:

• generating a plurality of concept profiles, each concept profile being a first data structure including at least one concept and at least one dimension layer associated with the concept, wherein the concept profiles are determined by a web crawling server crawling a plurality of content nodes on a computer network and identifying concepts and context within the content of the content nodes;
• receiving client data for deliverable content;
• applying the concept profiles generated by the web crawling server to the provided client data to generate a client model, the client model being a second data structure associated with each client with deliverable content;
• applying the generated concept profiles to content placement nodes within an inventory channel to generate inventory profiles, each inventory profile being a third data structure associated with each content placement node in the inventory channel, wherein each inventory profile includes a concept graph for each concept identified on each content node and a dimension layer in the concept graph for each identified concept;
• determining a correlation between at least one of the inventory profiles and a client model;
• and
• placing client deliverable content on a selected content placement node of the inventory channel based on the determined correlation.