Yext, Inc.

Benjamin Berry

Marc Ferrentino

Calvin Casalino

Jonathan Kennell

Victoria Beall

Kevin Caffrey

Howard C Lerman

Maxwell Shaw

Catherine Frailey

Dan Tran

Akul Penugonda

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 merchant, a second website of the plurality of websites based on the second updated weight value, and redirecting, via the container, a web browser of a second user system to the second website for posting the second review of the merchant.

Online review generation using a redirection container

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.

Online merchant review system and method utilizing dynamic URL redirection for distributing review requests

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. In view of the updated review response template, a second review response is generated, where the second review response includes an updated set of values corresponding to the set of response components. The second review response is distributed to a second review platform via a second application program interface.

Review response generation and review sentiment analysis

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.

Managing changed versions of data of a listing associated with an entity

A system and method to optimize dynamic review generation. A user device associated with a user is selected to provide a review of a merchant. A weighted event factor associated at least a portion of a plurality of websites to which the review can be redirected is identified. Based on the weighted event factor, a first website of the plurality of websites to which to redirect the user device is determined. A dynamic redirection container is transmitted that redirects the client device to the first website, wherein the dynamic redirection container receives a posted review of the merchant at the first website. Based on the posted review associated with the merchant, the weighted event factor is updated.

Online merchant review management using dynamic resource locator redirection to distribute a review request

Implementations of the present disclosure provide techniques to optimize distribution to multiple websites of online reviews associated with a merchant system. The system and method include receiving, from a merchant system associated with a merchant, assignment of a weight value corresponding to each website of a plurality of websites configured to receive a review associated with a merchant. A distribution parameter associated with the plurality of websites is received from the merchant system. A request to provide a review of the merchant is provided to a user system, the request comprising a link. Receiving from the user system, an indication associated with the link. In response to receiving the indication, identifying, by a redirection container, a first website of the plurality of websites based on the weight value corresponding to each website of the plurality of websites and the distribution parameter. The user system is redirected, via the redirection container, to the first website for posting an online review of the merchant.

A system and method to generate substantive and quality responses to end user reviews for publication via an online review platform. A review associated with a merchant system is identified, the review including multiple review elements. Extracting a set of key review elements from the multiple review elements. A sentiment score associated with a first key review element of the set of key review elements is determined. A review response is generated to include a set of values corresponding to a set of response components, wherein a first value of the set of values comprises the first key review element. The review response including the sentiment score associated with the first key review element is displayed.

Embodiments of the disclosure provide for a knowledge search engine platform to analyze a search query initiated by a user device to identify a natural language inquiry associated with questions about a particular business, (e.g., product brand data such as products, services, employees, events, etc.). This may include searching through large amounts of data for hidden patterns and relationships of events, and presenting this knowledge data in a readily understandable format for users. The knowledge data is then presented in a structured form that is easily digestible to allow users via the user device to find the information they are looking to retrieve. The knowledge data may also include competitor intelligence that allows users to identify competitors, by searching a local pack to return results of potential competitors. The local pack may be within proximity of an indication of location of where the user is searching using with user device.

Method, system, and non-transitory computer readable medium for enhanced business listings

Implementations of the present disclosure provide techniques to optimize dynamic third party review generation for transmitting redirection request links. In one implementation, a system is provide that comprises a memory to store profile data for one or more merchants; and a processing device, operatively coupled to the memory, to receive an indication to generate an online review for a client device associated with a location of a merchant. Responsive to receiving the indication, one or more weighted event factors associated with the merchant are determined. One or more distribution parameters specified by a merchant system are selected based on the weighted event factors for the merchant. An online third party review site is identified based on the distribution parameters. Thereupon, the online third party site is caused to transmit a reviewing object to the client device for posting the online review of the location of the merchant.

Optimizing dynamic third party review generation for transmitting redirection request links

A system and method to optimize dynamic review generation. A client device of a user is selected to provide a review of a merchant. A weighted event factor associated with multiple websites is identified. The system and method identify an input parameter provided by the merchant to be used with the weighted event factor to determine a first website of the multiple websites to receive the review of the merchant. A communication object is transmitted to the client device to redirect the client device to the first website to submit the review.

Optimizing dynamic review generation for redirecting request links

Implementations of the disclosure provide a system for verifying publisher suggestions. The system includes a memory to store profile data for one or more entities; and a processing device coupled to the memory to identify an indication from a source of a suggested change to an online listing data associated with an entity at one or more provider systems. It is determined whether the suggested change matches previously stored information regarding the entity. Responsive to detecting a difference between the suggested change and the stored information, a communication with a client device associated with the entity is initiated based on the suggested change. Input data is received from the client device based on the initiated communication that indicates whether to accept or reject the suggested change. Thereupon, the suggested change is applied to the online listing data at the one or more provider systems in accordance with the input data.

Verifying publisher suggestions

Implementations of the present disclosure provide a system for optimizing dynamic review generation. The system include a memory to store profile data for a plurality of merchant; and a processing device, operatively coupled to the memory, to create a dynamic redirection container for an online review associated with a merchant. The dynamic message container is transmitted to a client device of a user at the physical location. Confirmation is received from the client device that the dynamic redirection container is activated by the user. One or more weighted event factors associated with a plurality of sites is identified based on the received confirmation and distribution parameters specified by a merchant system for the merchant. In accordance with the weighted event factors, the client device is redirected to at least one site of the plurality sites as being associated with the dynamic redirection container.

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New York, NY, United States of America

Benjamin Berry