Machine learning techniques for advanced frequency management

1. A system for frequency management, comprising:

a computer processor;

an online media service configured 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; and

identify an industry identifier associated with one or more candidate media items; and

a frequency management service executing on the computer processor and configured to enable the computer processor to:

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 identified by the online media service of 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.

2. The system of claim 1 , wherein the online media service is further configured to:

obtain a set of cross-device identifiers associated with the recipient identifier, wherein the query comprises the set of cross-device identifiers, and wherein the quantity of impressions is an aggregate of impressions corresponding to the set of cross-device identifiers and the recipient identifier.

3. The system of claim 2 , wherein the cross-device identifiers and the recipient identifier correspond to a household.

4. The system of claim 1 , wherein the online media service is further configured to:

receive a second request for a second media item, the second request comprising a second recipient identifier;

identify a second set of candidate media items ranked by the set of matching criteria;

wherein the frequency management service is further configured to enable the computer processor to:

perform a second query against the lookup service, wherein the second query comprises (i) a second entity identifier of a second candidate media item of the second set of candidate media items, and (ii) the second recipient identifier;

receive a second response from the lookup service comprising a second quantity of impressions associated with the second entity identifier and the second recipient identifier over a second duration of time;

identify a second predefined frequency threshold, wherein the second predefined frequency threshold is a minimum threshold;

determine, based at least on the second quantity of impressions, that the second frequency threshold is exceeded;

include the second candidate media item in a second result set based on the second frequency threshold being exceeded; and

provide the second result set including the second candidate media item in response to the request.

5. The system of claim 4 , wherein the frequency threshold and the second predefined frequency threshold form an upper and lower bound for a range of target impressions of any single entity for each recipient.

6. The system of claim 1 , wherein:

the at least one candidate media item is a video;

the entity identifier is associated, in a lookup cache utilized by the lookup service, with a probability generated by an artificial intelligence model configured to perform entity detection on frames of the video; and

a prior request comprising an identifier of the at least one candidate media item triggered an ingestion process resulting in the entity identifier and the probability being stored in the lookup cache.

7. The system of claim 1 , wherein the quantity of impressions is decayed by the lookup service over time using a decay formula, and wherein the decay formula is configured to reduce the quantity of impressions over each of a predefined unit of time.

8. The system of claim 1 , wherein the online media service is further configured to:

receive the result set including the identifier of the at least one other candidate media item; and

utilize the quantity of impressions as an input to a realtime bidding service to determine whether to serve the at least one other candidate media item in response to the request.

9. 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.

10. The method of claim 9 , further comprising:

obtaining a set of cross-device identifiers associated with the recipient identifier, wherein the query comprises the set of cross-device identifiers, and wherein the quantity of impressions is an aggregate of impressions corresponding to the set of cross-device identifiers and the recipient identifier.

11. The method of claim 10 , wherein the cross-device identifiers and the recipient identifier correspond to a household.

12. The method of claim 9 , further comprising:

receiving a second request for a second media item, the second request comprising a second recipient identifier;

identifying a second set of candidate media items ranked by the set of matching criteria;

performing a second query against the lookup service, wherein the second query comprises (i) a second entity identifier of a second candidate media item of the second set of candidate media items, and (ii) the second recipient identifier;

receiving a second response from the lookup service comprising a second quantity of impressions associated with the second entity identifier and the second recipient identifier over a second duration of time;

identifying a second predefined frequency threshold, wherein the second predefined frequency threshold is a minimum threshold;

determining, based at least on the second quantity of impressions, that the second frequency threshold is exceeded;

including the second candidate media item in a second result set based on the second frequency threshold being exceeded; and

providing the second result set including the second candidate media item in response to the request.

13. The method of claim 12 , wherein the frequency threshold and the second predefined frequency threshold form an upper and lower bound for a range of target impressions of any single entity for each recipient.

14. The method of claim 9 , wherein:

the at least one candidate media item is a video;

the entity identifier is associated, in a lookup cache utilized by the lookup service, with a probability generated by an artificial intelligence model configured to perform entity detection on frames of the video; and

a prior request comprising an identifier of the at least one candidate media item triggered an ingestion process resulting in the entity identifier and the probability being stored in the lookup cache.

15. The method of claim 9 , wherein the quantity of impressions is decayed by the lookup service over time using a decay formula, and wherein the decay formula is configured to reduce the quantity of impressions over each of a predefined unit of time.

16. The method of claim 9 , further comprising:

receiving the result set including the identifier of the at least one other candidate media item; and

utilizing the quantity of impressions as an input to a realtime bidding service to determine whether to serve the at least one other candidate media item in response to the request.

17. 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.

18. The non-transitory computer-readable storage medium of claim 17 , the plurality of instructions further configured to enable the at least one computer processor to:

obtain a set of cross-device identifiers associated with the recipient identifier, wherein the query comprises the set of cross-device identifiers, and wherein the quantity of impressions is an aggregate of impressions corresponding to the set of cross-device identifiers and the recipient identifier.