Abstract: Disclosed herein is a system and method for controlling relevance and variety in stored data in data management platforms for audience targeting. The method comprises receiving an input query using a user interface from a user; storing and indexing the target audience in a database; providing an expanded set of search queries from the input query based on the input query, by using a language model; receiving the expanded set of search queries to provide a result of matched target audiences based on the expanded set of search queries matched with the target audiences stored in the database; receiving matched target audiences from a relevance module to provide a filtered result of the matched target audiences by discarding non-relevant target audience based on preset calculation; and performing multiscale clustering to provide a graphical representation or a ranked list of the filtered matched target audiences based on a weightage score.

Abstract: Disclosed herein is a system and method for controlling relevance and variety in stored data in data management platforms for audience targeting. The method comprises receiving an input query using a user interface from a user; storing and indexing the target audience in a database; providing an expanded set of search queries from the input query based on the input query, by using a language model; receiving the expanded set of search queries to provide a result of matched target audiences based on the expanded set of search queries matched with the target audiences stored in the database; receiving matched target audiences from a relevance module to provide a filtered result of the matched target audiences by discarding non-relevant target audience based on preset calculation; and performing multiscale clustering to provide a graphical representation or a ranked list of the filtered matched target audiences based on a weightage score.