Granular Cluster Generation for Real-Time Processing

A system comprising:

• a data processing system comprising one or more processors configured to:
• access content associated with a third-party content provider;
• retrieve, based on the accessed content, tokens that represent an intent of the third-party content provider;
• identify, based on the retrieved tokens, a segment from a plurality of segments for recommending to the third-party content provider,
• wherein the plurality of segments is generated by using a clustering model that clusters input data into the plurality of segments, the clustering model being generated using unsupervised machine learning;
• and
• recommend a token in the identified segment to the third-party content provider.

A method comprising:

• accessing content associated with a third-party content provider;
• retrieving, based on the accessed content, tokens that represent an intent of the third-party content provider;
• identifying, based on the retrieved tokens, a segment from a plurality of segments for recommending to the third-party content provider,
• wherein the plurality of segments is generated by one or more processors of a data processing system using a clustering model that clusters input data into the plurality of segments, the clustering model being generated using unsupervised machine learning;
• and
• recommending a token in the identified segment to the third-party content provider.

One or more computer readable media storing instructions that are executable by one or more processors to cause a computing system to perform operations, the operations comprising:

• accessing content associated with a third-party content provider;
• retrieving, based on the accessed content, tokens that represent an intent of the third-party content provider;
• identifying, based on the retrieved tokens, a segment from a plurality of segments for recommending to the third-party content provider,
• wherein the plurality of segments is generated by using a clustering model that clusters input data into the plurality of segments, the clustering model being generated using unsupervised machine learning;
• and
• recommending a token in the identified segment to the third-party content provider.