Yext, Inc.

Michael Peralta

Maxwell Shaw

Michael Misiewicz

A system and method to generate and manage clusters of search terms. A cluster generation process is executed at a first time to generate a first set of clusters including respective sets of search terms. At least one of a first value of a first parameter associated with the first set of clusters or a first value of a second parameter associated with the first set of clusters is determined. At a second time, the cluster generation process is executed to generate a second set of clusters. At least one of a second value of the first parameter associated with the second set of clusters or a second value of the second parameter associated with the second set of clusters is determined. A determination is made whether either the second value of the first parameter satisfies a first condition or the second value of the second parameter satisfies a second condition. The system and method identify an emerging cluster within the second set of clusters in response to satisfaction of either the first condition or the second condition. Information identifying the emerging cluster is displayed via a user interface.

Identification of emerging clusters

A system and method to generate and manage clusters of search terms. The system and method generate a cluster including a set of search terms. A size of the cluster is compared to a cluster size threshold level to determine that the cluster comprises a valid-sized cluster. A noise rate of the cluster is compared to a noise rate threshold level to determine that the noise rate is less than the noise rate threshold level, wherein the noise rate relates to a distance of the cluster from a set of other clusters. Performance data associated with the cluster is generated based on a comparison with one or more cluster performance metric thresholds. A user interface is generated to display information associated with the cluster comprising the performance data. Input is received via the user interface comprising an adjustment of the one or more cluster performance metrics thresholds.

Management and optimization of search term clustering based on performance data

A system and method to generate and manage clusters of search terms. The system and method collect a set of search terms associated with multiple search queries relating to an entity. A neural network identifies a set of embedding vectors, wherein each of the set of embedding vectors represents a search term of the set of search terms. A cluster is generated including a portion of the set of search terms based on a comparison of embedding vectors associated with the portion of the set of search terms. A size of the cluster is compared to a cluster size threshold level to determine if a first condition is satisfied. In response to determining satisfaction of the first condition, the cluster is identified as a valid-sized cluster. A user interface is generated to display information related to the cluster and one or more cluster metrics.

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Brooklyn, NY, United States of America

Michael Peralta