YEXT, INC.

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.

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.

A merchant listing verification system to scan a publisher system of a set of publisher systems to identify a published merchant listing published by the publisher system, where the published merchant listing includes a first set of data fields and a first set of data field values associated with a merchant system. The merchant listing verification system compares, on a field-by-field basis, the published merchant system to a target merchant listing comprising a second set of data fields and a second set of data field values associated with the merchant system. Based on the comparing, a discrepancy between a first data value of a first data field of the first set of data fields of the published merchant listing and a second data value of a second data field of the second set of data fields of the target merchant listing is identified.

Systems, methods, and computer-readable storage media for receiving data at a computer system, wherein the data has a plurality of rows; receiving, from a user at the computer system, a description of a task associated with the data; receiving, from the user at the computer system, a plurality of example transformations; combining, via at least one processor of the computer system, the task description together with the plurality of example transformations and input and output labels, resulting in a prompt; executing, via the at least one processor, a machine learning model, wherein the prompt is an input to the machine learning model, and wherein output of the machine learning model comprises an algorithm for executing the task; and executing, via the at least one processor, the task on the data using the algorithm.

A system and method to provide adaptively re-ranked search results in response to a search query. An initial ranking of search results associated with a search query cluster including a first search query and a second search query is established. One or more model parameters associated with the first search query are identified. A machine-learning model generates a re-ranking of the search results based at least in part on the initial ranking and the one or more model parameters. In response to receiving the second search query from an end-user system, causing a display of the re-ranking of the search results to the end-user system.

A system and method to generate a website for a user system. A set of static assets associated with the website are generated. A first document of a first data record is transformed from a first schema to a second schema to generate a first transformed document. A data graph associated with the user system is generated, where the data graph includes the first transformed document and a portion of HTML, content of a data record received via a first data stream of a set of data streams. A web page including the portion of HTML content is rendered. The set of static assets and the web page of the website are provisioned to the user system.

Implementations of the disclosure provide a system for managing data suggestions processed by multiple different source systems. A first suggestion associated with first data associated with an entity system is received from a first system. A second suggestion associated with the first data associated with the entity system is received from a second system. An indication of an acceptance of the first suggestion is received from the entity system. The first suggestion is applied to the first data to generate updated first data. The updated first data is transmitted to the first system and the second system.

A system and method to identify a document including text relating to a merchant system. The document is segmented into a set of sentences. A first machine-learning model executed by a processing device generates an initial topic segmentation corresponding to the set of sentences. A second machine-learning model is applied to the initial topic segmentation to generate a final topic segmentation corresponding to the document.

In one implementation, a method is provided that designates a first listing corresponding to a first web address as a representative listing of an entity. A provider system is searched to identify a second listing associated with the entity, wherein the second listing corresponds to a second web address. A determination is made that the second listing satisfies matching criteria associated with the first listing. An instruction to suppress the second listing on the provider system is received from a system associated with the entity. A request to suppress the second listing associated with the entity is transmitted to the provider system. An indication that the second listing is suppressed on the provider system is received, where, in response to a request to access the second web address associated with the second listing, a web browser is redirected to the first web address associated with the first listing.

A system and method to provide adaptively re-ranked search results in response to a search query. An initial ranking of search results associated with a search query is established. A query identifier associated with the search query received from an end-user system is identified. Based on the query identifier, a set of model parameters associated with the search query are identified. In response to receiving the search query, using a machine-learning model, a re-ranking of the search results based at least in part on the set of model parameters and the initial ranking of the search results is determined. The re-ranked search results are provided to the end-user system.