The method and system may provide a seamless handoff of user information from a drugstore to a call agent. When a customer communicates with a drugstore device regarding a drugstore-related inquiry, the drugstore device attempts to identify an answer to the drugstore-related inquiry. When the drugstore device does not identify an answer to the drugstore-related inquiry, the drugstore device initiates communication between the customer and a contact center. A transcribed version of the communication may be stored in a database accessible by the contact center along with additional user information for the customer related to the customer's experiences with the drugstore. The user information may be provided to a call agent's contact center device for display and in this manner, the call agent may be made aware of the communication to avoid asking repeat questions and to quickly and efficiently answer the customer's drugstore-related inquiry.

A multi-channel acoustic echo cancellation (AEC) system that includes a step-size controller that dynamically determines a step-size value for each channel and each tone index on a frame-by-frame basis. The system determines that near-end signals are present by calculating a scaled error and determining that the scaled error exceeds a threshold value. When the scaled error exceeds the threshold value, the system may switch from a first cost function to a second cost function and determine a step-size value using a robust algorithm. The robust algorithm may prevent the system from diverging due to the presence of the near-end signal. For example, the robust algorithm may select a different cost function to determine the step-size value and/or combine different step-size computations, resulting in the step-size value being temporarily reduced. Thus, the robust algorithm may enable the AEC to better model the near-end disturbance statistics while the near-end signal is present.

A network 50 is hierarchically divided into network devices 501 to 506, areas, and the like to be monitoring targets, and a monitoring device 100 monitors a divided monitoring target. A monitoring device of an N-th layer (here, N≥2) that is an upper layer with respect to a first layer monitors information of reachability between user connection points received from a monitoring device of an (N−1)-th layer that is a lower layer and network devices connecting monitoring targets of the (N−1)-th layer making up monitoring targets of the N-th layer and connection statuses between the network devices and areas that are monitoring targets. The monitoring device determines the presence/absence of reachability between user connection points belonging to different monitoring targets of the (N−1)-th layer on the basis of this reachability and the connection statuses.

The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

A device is provided. The device includes a processor and a memory configured to store instructions executable by the processor. The processor is configured to execute the instructions to extract context information from displayed data based on an application which is being executed by the device, identify an identifier from the context information, search for at least one recommended contact related to the identifier based on the identifier and a relation graph obtained by inputting information regarding a communication between a plurality of users into a first training model for determining an association between the plurality of users, identify a priority of the at least one recommended contact, and control to display the at least one recommended contact according to the priority.

A device is provided. The device includes a processor and a memory configured to store instructions executable by the processor. The processor is configured to execute the instructions to extract context information from displayed data based on an application which is being executed by the device, identify an identifier from the context information, search for at least one recommended contact related to the identifier based on the identifier and a relation graph obtained by inputting information regarding a communication between a plurality of users into a first training model for determining an association between the plurality of users, identify a priority of the at least one recommended contact, and control to display the at least one recommended contact according to the priority.

Each of number management devices of a number management system includes a request reception unit configured to receive a number update request including number portability information, a transaction generation unit configured to generate a transaction for the received number portability information, a block proposal unit configured to acquire each of transactions generated in response to a plurality of number update requests, generate a block to be newly proposed, and transmit the generated block to be proposed to each of the plurality of number management devices, and a block approval unit configured to approve the block to be proposed by confirming a predetermined normal state of the block to be proposed and store the block to be proposed in a storage unit, with the block to be proposed connected to the block stored as the blockchain.

A system and method for hybrid callback management and failure recovery, utilizing a callback cloud and an on-premise callback system, allowing brands to utilize a hybrid system that protects against any premise outages or cloud service faults and failures by introducing redundancies and co-maintenance of data key to callback execution.

A wireless communication device including: a memory that stores a setting content of a beacon terminal to be rewritten, identification information of the beacon terminal, and a flag indicating whether the setting of the beacon terminal has been already rewritten, the setting content, the identification information and the flag being associated with each other; and a processor coupled to the memory and the processor configured to: acquire data broadcasted from the beacon terminal; and transmit the setting content to the beacon terminal, and cause the beacon terminal to change the setting when identification information of the beacon terminal included in the data acquired from the beacon terminal is identical with the identification information stored into the memory, changing the setting of the beacon terminal is not completed and a strength of a received signal from the beacon terminal is equal to or more than a threshold value.

A disclosed example includes providing vibration information to a model, the vibration information corresponding to a first vibration measured at a first mobile device when the first mobile device is in a state of non-use by a user, the model based on a plurality of vibration patterns that correspond to second vibrations measured by second mobile devices in different environments; identifying, using the model, one of the vibration patterns that corresponds to the vibration information; determining an environment of the first mobile device based on the one of the vibration patterns; and instructing the first mobile device to modify a functionality of the first mobile device based on the environment.