Abstract: 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.

Abstract: A system and method to receive a search query input from an end user system, wherein the search query input relates to information associated with a merchant system. In view of the search query, a document associated with the merchant system is identified. A set of portions of the document are identified. A keyword-matching density level is determined for each portion of the set of portions of the document. A selected portion of the set of portions having a highest relative keyword-matching density level is identified. A graphical user interface including a search result responsive to the search query is generated, the graphical user interface including the selected portion of the document.

Abstract: A system and method to manage online reviews. A determination is made that a user device is logged into a set of one or more websites comprising a first website. A dynamic redirection container is transmitted that redirects the user device to the first website, wherein a posted review associated with a merchant is received at the first website via the dynamic redirection container. Based on the posted review associated with the merchant, a weighted factor associated with at least a portion of a plurality of websites configured to receive one or more reviews associated with the merchant is updated. An adjustment of the weighted factor associated with at least the portion of the plurality of websites is received.

Abstract: Systems and methods including receiving, from a merchant system associated with a merchant, a first set of weight values corresponding to websites configured to receive one or more reviews associated with the merchant, determining, based on the first set of weight values, a first set of target distribution values corresponding to the plurality of websites, providing, to a first user system, a first request to provide a first review of the merchant, the first request comprising a first link corresponding to a first website of the plurality of websites, receiving, via an application programming interface associated with the first website, information associated with the first request, providing information associated with the first request, receiving a first updated weight value corresponding to the first web site and a second updated weight value corresponding to a second website of the plurality of websites, identifying, by a container associated with a second request to provide a second review of the merchan

Abstract: A method for a chat bot includes receiving multiple instruction sets corresponding to multiple goals, each instruction set defining a prompt to a large language model (LLM) to achieve a corresponding goal. The method further includes receiving a chat history from a user, comprising multiple messages, each message being one of a user-authored message or a chat bot-authored message, and further comprising metadata associated with said chat history. The method further includes identifying a particular goal of said user from the multiple goals, selecting a particular instruction set corresponding to said particular goal, and defining a particular prompt to the LLM. The method further includes executing said particular instruction set by providing said particular prompt to said LLM and providing a reply to said user with a result of executing said particular instruction set.

Abstract: A system and method to receive a search query input from an end user system, wherein the search query input relates to information associated with a merchant system. In view of the search query, a document associated with the merchant system is identified. A set of portions of the document are identified. A keyword-matching density level is determined for each portion of the set of portions of the document. A selected portion of the set of portions having a highest relative keyword-matching density level is identified. A graphical user interface including a search result responsive to the search query is generated, the graphical user interface including the selected portion of the document.

Abstract: A system and method to manage online reviews. A determination is made that a user device is logged into a set of one or more websites comprising a first website. A dynamic redirection container is transmitted that redirects the user device to the first website, wherein a posted review associated with a merchant is received at the first website via the dynamic redirection container. Based on the posted review associated with the merchant, a weighted factor associated with at least a portion of a plurality of websites configured to receive one or more reviews associated with the merchant is updated. An adjustment of the weighted factor associated with at least the portion of the plurality of websites is received.

Abstract: A system and method to generate search results in response to a search query based on comparisons of embedding vectors. The system and method receive, from an end user system, a search query including a set of keywords associated with the entity. Using a neural network, an embedding vector is identified based on the set of keywords of the search query. The system and method compares the embedding vector associated with the search query to a set of embedding vectors associated with a set of structured data elements relating to the entity. Based on the comparison, a set of matching structured data elements is identified. The system and method generate a search result in response to the search query, wherein the search result includes at least a portion of the set of matching structured data elements. The search result is displayed via an interface of the end user system.

Abstract: A system and method to manage data associated with a merchant system to provide in response to a search query from an end user system. The system and method to generate, in a data graph associated with a merchant system, a first entity type including a first data field storing a first data value corresponding to the merchant system. A second entity type comprising a second data field storing a second data value corresponding to the merchant system is generated in the data graph. A relationship type between the first entity type and the second entity type is established. A first update to the first data value of the first entity type is generated. In view of the relationship type, a second update to the second data value of the second entity type is generated. The first update of the first entity type and the second update of the second entity type are stored in the data graph.

Abstract: A system and method to determine a sentiment score associated with a review element extracted from a first review posted by an end-user system to a first review platform of the plurality of review platforms, where the first review is associated with a merchant system. In view of a review response template associated with the merchant system, a first review response is generated, the first review response including a set of values corresponding to a set of response components, where a value of the set of values includes the review element. The first review response to the first review platform is distributed via a first application program interface associated with the first review platform. Feedback relating to the first review response is received. One or more terms of the review response template are adjusted in view of the feedback to generate an updated review response template.

Abstract: A system and method to provide search capabilities via a merchant system including search responses aggregated from multiple different search provider sources. The system and method receive, via an interface of the merchant system, a search query input from an end user system. The search query input is routed to the multiple search provider sources. A set of response to the search query input is received from at least a portion of the search providers sources. A first portion of the set of responses is identified as having a verified status. A ranking of the set of responses is generated based on a level of responsiveness to the search query input. The system and method cause, based at least in part on the ranking, a display including a search result comprising at least a portion of the set of responses.

Abstract: A system includes at least one processor, and a non-transitory computer-readable storage medium storing instructions which, when executed by the at least one processor, cause the at least one processor to perform a method that includes generating a knowledge graph having multiple nodes, each node including at least one field to store data, and being associated with at least one other node. The method further includes, at a particular node, defining a plurality of fields, such that a first field in the multiple fields has a dependence on a second field in the multiple fields. The method further includes receiving data at the knowledge graph, using the received data to define a value of the second field, using the value of the second field to generate a computed value for the first field based on the dependence, and updating the first field using the computed value.

Abstract: A system and method to generate search results in response to a search query based on comparisons of embedding vectors. The system and method receive, from an end user system, a search query including a set of keywords associated with the entity. Using a neural network, an embedding vector is identified based on the set of keywords of the search query. The system and method compares the embedding vector associated with the search query to a set of embedding vectors associated with a set of structured data elements relating to the entity. Based on the comparison, a set of matching structured data elements is identified. The system and method generate a search result in response to the search query, wherein the search result includes at least a portion of the set of matching structured data elements. The search result is displayed via an interface of the end user system.

Abstract: A system and method to manage data associated with a merchant system to provide in response to a search query from an end user system. The system and method to generate, in a data graph associated with a merchant system, a first entity type including a first data field storing a first data value corresponding to the merchant system. A second entity type comprising a second data field storing a second data value corresponding to the merchant system is generated in the data graph. A relationship type between the first entity type and the second entity type is established. A first update to the first data value of the first entity type is generated. In view of the relationship type, a second update to the second data value of the second entity type is generated. The first update of the first entity type and the second update of the second entity type are stored in the data graph.

Abstract: A system and method to provide search capabilities via a merchant system including search responses aggregated from multiple different search provider sources. The system and method receive, via an interface of the merchant system, a search query input from an end user system. The search query input is routed to the multiple search provider sources. A set of response to the search query input is received from at least a portion of the search providers sources. A first portion of the set of responses is identified as having a verified status. A ranking of the set of responses is generated based on a level of responsiveness to the search query input. The system and method cause, based at least in part on the ranking, a display including a search result comprising at least a portion of the set of responses.

Abstract: A changed version of first data of a listing associated with an entity provided via a webpage generated by a provider system is identified. The provider system is caused to revert to the first data of the listing associated with the entity. A first communication is transmitted to a client device associated with the entity, wherein the communication identifies the changed version of the first data. In response to receiving an indication from the client device of an acceptance of the changed version of the first data, the changed version of the first data is applied to the provider system.

Abstract: 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.

Abstract: 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.

Abstract: 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.