Machine learning techniques for advanced frequency management

A method for frequency management, comprising:

• receiving a request for a media item, the request comprising a recipient identifier;
• identifying a set of candidate media items ranked by a set of matching criteria;
• performing a query against a lookup service, wherein the query comprises (i) an entity identifier of at least one candidate media item of the set of candidate media items, and (ii) the recipient identifier, wherein the query comprises an industry identifier associated with the at least one candidate media item;
• receiving a response from the lookup service comprising a quantity of impressions associated with the entity identifier and the recipient identifier over a duration of time;
• identifying a predefined frequency threshold;
• determining, using at least one computer processor, that the frequency threshold is exceeded based at least on the quantity of impressions, wherein the quantity of impressions is weighted according to an aggregate quantifier representing impressions corresponding to the industry identifier and the recipient identifier;
• excluding, using the at least one computer processor, the at least one candidate media item from a result set based on the frequency threshold being exceeded;
• and
• providing the result set including an identifier of at least one other candidate media item of the set of candidate media items in response to the request.

A non-transitory computer-readable storage medium comprising a plurality of instructions for frequency management, the plurality of instructions configured to execute on at least one computer processor to enable the at least one computer processor to:

• receive a request for a media item, the request comprising a recipient identifier;
• identify a set of candidate media items ranked by a set of matching criteria;
• perform a query against a lookup service, wherein the query comprises (i) an entity identifier of at least one candidate media item of the set of candidate media items, and (ii) the recipient identifier, wherein the query comprises an industry identifier associated with the at least one candidate media item;
• receive a response from the lookup service comprising a quantity of impressions associated with the entity identifier and the recipient identifier over a duration of time;
• identify a predefined frequency threshold;
• determine, based at least on the quantity of impressions, that the frequency threshold is exceeded, wherein the quantity of impressions is weighted according to an aggregate quantifier representing impressions corresponding to the industry identifier and the recipient identifier;
• exclude the at least one candidate media item from a result set based on the frequency threshold being exceeded;
• and
• provide the result set including an identifier of at least one other candidate media item of the set of candidate media items in response to the request.