Provided is a system and method for adapting analysis to user profiles to reduce bias in customer or user generated content, specifically a system and method that discounts or adjusts bias in sentiment data based on the channel from which the content was received and/or the demographic of the user. The system includes a means to detect bias for any product, service, or company across multiple channels of customer data; a means to construct models to quantize bias by specific demographics and channels; and a means to adjust model output to reduce inflation by biased groups.

A merchant may operate a retail store that users are able to visit in person in order to view and purchase products. When a user visits the store, the user might not know where a desired product (“target product”) is located. Computer technology may help direct the user to the target product in real-time. In some embodiments, a model of passable areas and the location of products in the retail store may be determined, e.g. by a merchant device. In some embodiments, when the user visits the retail store, a computer generates a product recommendation, e.g. based on user-specific information, and a route in the retail store is determined for the user. In some embodiments, the route in the retail store may be determined using the model based on the target product, the user's location in the store, and one or more recommended products.

The present invention relates to systems, methods and computer program products for providing in-store purchase offers. A control system is configured to receive event data from a mobile device and provide purchase offers based on obtained event data. An optically readable code for verifying that the customer is authorized to take advantage of a purchase offer is displayed on the customer's mobile device in response to an identified event. The consumer is provided with a purchase offer including at least a second product different from the first product associated with an image acquired by the mobile device.

A method of operating a customer utterance analysis system includes obtaining a subset of utterances from among a first set of utterances. The method includes encoding, by a sentence encoder, the subset of utterances into multi-dimensional vectors. The method includes generating reduced-dimensionality vectors by reducing a dimensionality of the multi-dimensional vectors. Each vector of the reduced-dimensionality vectors corresponds to an utterance from among the subset of utterances. The method includes performing clustering on the reduced-dimensionality vectors. The method includes, based on the clustering performed on the reduced-dimensionality vectors, arranging the subset of utterances into clusters. The method includes obtaining labels for a least two clusters from among the clusters. The method includes generating training data based on the obtained labels. The method includes training a neural network model to predict an intent of an utterance based on the training data.

The present invention relates to a method and a computer-readable medium for providing service information including a bill customized to a user, in which when company information and industry information are received from the user through a first interface, one or more higher-order keywords are derived based on the company information and the industry information, a plurality of information to which one or more lower-order keywords matching an initial logical relation for a specific higher-order keyword selected by the user are mapped are provided to the user through a second interface according to the initial logical relation between one or more lower-order keywords that are set to each of the one or more higher-order keywords, and the user changes the initial logical relation that is preset to the specific higher-order keyword through a third interface so as to additionally receive a plurality of information matching the changed logical relation.

Provided is a comprehensive cosmetic provision platform server for providing a service that recommends a cosmetic to a user, the comprehensive cosmetic provision platform server including: a manufacturer management unit configured to conclude a contract with a manufacturer server and to obtain information about a manufacturer and information about the cosmetic provided by the manufacturer from the manufacturer server; a distributor management unit configured to conclude a contract with a distributor server and to obtain distributor information from the distributor server; a data management unit configured to be interlocked with the comprehensive cosmetic provision platform server and to obtain a face image of the user from a kiosk installed in a distribution store of the distributor server; a skin characteristic determination unit configured to determine skin characteristics of the user based on the obtained face image; a cosmetic determination unit configured to determine a cosmetic including an ingredient and effect necessary for the user based on the determined skin characteristics; a kiosk control unit configured to display information about the determined cosmetic through the kiosk; a payment processing unit configured to obtain a payment request signal for the cosmetic from the kiosk and to perform payment for the cosmetic according to the obtained payment request signal; and a settlement processing unit configured to settle a sales amount for the cosmetic and to charge a fee to the manufacturer server and the distributor server based on the sales amount.

A method of optimizing rider satisfaction includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as indicative of an effect on a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, at least one aspect of rider satisfaction affected by an effect on the transportation system derived from the social media data classified as indicative of an effect on the transportation system. The method still further includes optimizing, using a third neural network of the hybrid neural network, the at least one aspect of rider satisfaction for at least one rider occupying a vehicle in the transportation system.

Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

A method for establishing at least three-way conversations between customers, service providers, and brand agents within a service delivery network (SDN) is provided. The method commences with receiving a request from a customer for a service by a brand and collecting metadata associated with the customer. The method continues with receiving identification data associated with a service provider. The service provider is selected by the brand based on at least the metadata. The method further includes initiating a two-way communication channel between the customer and one or more brand agents associated with the brand. The method further includes providing a Uniform Resource Locator to the service provider to join the two-way communication channel. The method further includes initiating an at least three-way conversation between the customer, the service provider, and the one or more brand agents via the two-way communication channel.

Provided is a computer-implemented method for event-based communication and messaging that includes determining general event data associated with an event, determining user data associated with a user based on determining the event data associated with the event, determining pre-event data associated with the event, current event data associated with the event, or post-event data associated with the event based on the general event data associated with the event and the user data associated with the user, determining a current user location of the at least one user, generating at least one message based on the current user location, the at least one message including at least one of the following: pre-event data; current event data; post-event data; or any combination thereof; and communicating the at least one message to a user device of the user. A system and computer program product are also disclosed.