The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.

A method for controlling a serving robot is provided. The method includes the steps of: acquiring situation information on at least one customer; dynamically determining a workflow for the at least one customer on the basis of the situation information on the at least one customer, using a workflow determination model for determining workflows related to services capable of being provided in a serving place; and causing a target service to be provided to the at least one customer on the basis of the determined workflow.

Systems and methods for scoring potential actions are disclosed. An example method may be performed by one or more processors of a system and include training a machine learning model based at least in part on a sequential database and retention data, identifying an action subsequence executed by a user, generating, for each of a plurality of potential actions, using the machine learning model, a first value indicating a probability that the user will execute the potential action immediately after executing the action subsequence, a second value indicating a probability that the user will continue to use the system if the user executes the potential action immediately after executing the action subsequence, and a confidence score indicating a likelihood that recommending the potential action to the user will result in the user continuing to use the system, the confidence score generated based on the first value and the second value.

A method includes (a) receiving and storing interaction time data associated with processes of a communication distributor server for an end-user network having an associated contact center with agent instances; (b) determining whether a trigger specified in a first logical directive is initiated; (c) upon determining that the trigger specified in the first logical directive is initiated, determining whether a metric related to the customer communications with the end-user network satisfies the condition in the first logical directive; and (d) upon determining that the metric related to the customer communications with the end-user network satisfies the condition in the first logical directive, providing the operation to at least one of the end-user network or the communication distributor server.

A digital map based online platform is provided. The online platform comprises an outdoor map server, a data store, a building database, a space database, and a computer program stored in a medium. The data store manages digital files related to buildings including floor plans of buildings and digital files including website source codes related to spaces in individual folders for each building and space. The building database and the space database manage map setting data of buildings and spaces, respectively. The computer program stored in a medium executes a series of stages to integrally display an outdoor map, an indoor map including floor plans of buildings, Internet links, and responsive HTML pages on the view of a digital map. The medium includes a web server and a user terminal.

An aspect of an information processing apparatus according to this invention includes an acquisition unit that acquires power sales information related to a plurality of types of electric power of different power generating systems, a generation unit that generates power use support information for supporting selective use of one or more types of electric power from the plurality of types of electric power based on the power sales information, and an output unit that outputs the power use support information.

An aspect of an information processing apparatus according to this invention includes an acquisition unit that acquires power sales information related to a plurality of types of electric power of different power generating systems, a generation unit that generates power use support information for supporting selective use of one or more types of electric power from the plurality of types of electric power based on the power sales information, and an output unit that outputs the power use support information.

Techniques for generating recommendations using machine learning with respect to semantic concepts defined in a knowledge graph. A hair profile is determined for a user based on inputs related to the user. Determining the hair profile includes extracting attributes of the user from the inputs using natural language processing, computer vision, or both, and identifying respective nodes for the extracted attributes in the knowledge graph. The knowledge graph is created via machine learning using population data including hair-related data in order to identify relationships between semantic concepts represented by nodes of the knowledge graph. The nodes include discrete properties such as individual hair attributes, ingredients of products, or otherwise discrete characteristics of factors that may affect a user's hair or related health conditions. A generalized recommendation is generated based on the hair profile. A personalized recommendation may be generated based on the generalized recommendation and progress logged by the user.

An artificial intelligence (AI) model, using logistic regression and gradient boosting tree, may determine a priority score for a user. The priority score may be associated with a likelihood of redemption of investment funds of the user by the user. Based on the priority score for the user, a server may prioritize transmission of a communication message to the user via one of a plurality of communication channels. The communication message may describe why the user should continue with their investment funds without redemption.

A compatibility prediction method includes predicting compatibility between a prediction target food and a prediction target drink using: a model for predicting the compatibility between the prediction target food and the prediction target drink, and measurements that are values related to predetermined information obtained when a measuring instrument measures aroma components of the prediction target food and the prediction target drink or calculations calculated based on the measurements.