Abstract: A service identifying and processing method using a wireless terminal message according to an exemplary embodiment of the present invention includes (a) receiving a wireless terminal message by a first entity which is a mobile device; and (b) expressing, by a first agent which is an information processing application program installed on the first entity, entity information of second entity based on the wireless terminal message and service confirmation information related to service provided by the second entity, through an application screen by the first agent.

Abstract: An image signal processor includes a register and a disparity correction unit. The register stores disparity data obtained from a pattern image data that an image senor generates, and the image sensor includes a plurality of pixels, and each of the pixel includes at least a first photoelectric conversion element and a second photoelectric conversion element. The image sensor generates the pattern image data in response to a pattern image located at a first distance from the image sensor. The disparity correction unit corrects a disparity distortion of an image data based on the disparity data to generate a result image data, and the image senor generates the image data by capturing an object.

Abstract: A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

Abstract: Provided are a method and apparatus for classifying a sentence into a class by using a deep neural network. The method includes respectively training first and second sentences by using first and second neural networks, obtaining a contrastive loss based on first and second feature vectors generated as output data of the training, and information about whether classes to which the first and second sentences belong are the same, and repeating the training in such a manner that the contrastive loss has a maximum value.

Abstract: A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

Abstract: An electronic apparatus for filtering a plurality of messages, via a user interface including a filtering bar. A display is for displaying a plurality of messages, and an input is to request a filtering of the plurality of messages based on importance.

Abstract: An apparatus and method for reducing power consumption of a portable terminal are provided. More particularly, an apparatus and method for reducing power consumption generated in an idle state in order to solve a power consumption problem in a portable terminal are provided. The apparatus includes a state determination unit which is configured independently from an application processor for controlling applications and which wakes up when entering an idle mode to allow the application processor to sleep, and thereafter determines a state of the portable terminal, and if it is determined that the portable terminal escapes from the idle mode, allows the application processor to wake up.

Abstract: An apparatus and method for gesture recognition in a portable terminal. An operation of the portable terminal includes determining a user situation by using at least one situation information, determining a user's gesture by using at least one sensor measurement value, and performing a function corresponding to the user situation and the gesture.

Abstract: An approach, performed by a device, for recommending at least one word to be input through a keyboard is provided. The approach displays the keyboard to be used to input at least one character or text on the device. The approach selects at least one language model. The approach recommends the at least one word related to at least one character or text inputted on the keyboard, based on the at least one inputted character or text and the at least one selected language model, in which the at least one selected language model comprises at least one of a language model based on demographic properties of a user of the device, a language model based on text input histories of the user of the device, and a language model based on a context in which the keyboard is executed.

Abstract: An electronic device according to an embodiment of the present invention comprises: a communication module; an input module; a display, and a processor, wherein the processor may select at least one contact destination of a plurality of contact destinations on the basis of a response inputted through the input module for each of a plurality of events generated through the communication module, and display the same on the display.

Abstract: A method for operating an electronic device according to an embodiment of the present invention may comprise: if an occurrence of a notification is detected, determining an application related to the notification or a keyword extractable from the notification; determining whether feedback of a user for the notification occurs; and storing preference information of the user for the application or the keyword based on the feedback. Also, other embodiments are possible.

Abstract: An electronic apparatus for compressing a language model is provided, the electronic apparatus including a storage configured to store a language model which includes an embedding matrix and a softmax matrix generated by a recurrent neural network (RNN) training based on basic data including a plurality of sentences, and a processor configured to convert the embedding matrix into a product of a first projection matrix and a shared matrix, the product of the first projection matrix and the shared matrix having a same size as a size of the embedding matrix, and to convert a transposed matrix of the softmax matrix into a product of a second projection matrix and the shared matrix, the product of the second projection matrix and the shared matrix having a same size as a size of the transposed matrix of the softmax matrix, and to update elements of the first projection matrix, the second projection matrix and the shared matrix by performing the RNN training with respect to the first projection matrix, the second p

Abstract: A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

Abstract: Provided are a method and apparatus for classifying a sentence into a class by using a deep neural network. The method includes respectively training first and second sentences by using first and second neural networks, obtaining a contrastive loss based on first and second feature vectors generated as output data of the training, and information about whether classes to which the first and second sentences belong are the same, and repeating the training in such a manner that the contrastive loss has a maximum value.

Abstract: A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

Abstract: An approach, performed by a device, for recommending at least one word to be input through a keyboard is provided. The approach displays the keyboard to be used to input at least one character or text on the device. The approach selects at least one language model. The approach recommends the at least one word related to at least one character or text inputted on the keyboard, based on the at least one inputted character or text and the at least one selected language model, in which the at least one selected language model comprises at least one of a language model based on demographic properties of a user of the device, a language model based on text input histories of the user of the device, and a language model based on a context in which the keyboard is executed.

Abstract: An approach, performed by a device, for recommending at least one word to be input through a keyboard is provided. The approach displays the keyboard to be used to input at least one character or text on the device. The approach selects at least one language model. The approach recommends the at least one word related to at least one character or text inputted on the keyboard, based on the at least one inputted character or text and the at least one selected language model, in which the at least one selected language model comprises at least one of a language model based on demographic properties of a user of the device, a language model based on text input histories of the user of the device, and a language model based on a context in which the keyboard is executed.

Abstract: A server for offering a service targeting a user and a service offering method thereof, the method including: collecting data from a plurality of user devices; determining a unit zone partitioned from a service zone based on geographic information; adjusting the unit zone based on the amount of data collectable according to the determined unit zones; performing modeling to parse the data collected according to the adjusted unit zones; and offering a service targeting a user of the unit zone, based on results from the modeling.

Abstract: The present disclosure provides a wear system for providing a service. The wear system may comprise a wear device configured to detect authentication information regarding a user wearing the wear device in a first state, to transmit the authentication information to a server, and if authentication of the user is complete through the server, to detect user data of the wear device in a second state and to transmit the user data to the server and the server, upon detecting identification information regarding the user using the authentication information received from the wear device, to complete the authentication of the user, to generate a user profile based on the user data received from the wear device, to store the user profile corresponding to the identification information, and to provide service information related to the user to the wear device.

Abstract: An electronic device according to an embodiment of the present invention comprises: a communication module; an input module; a display, and a processor, wherein the processor may select at least one contact destination of a plurality of contact destinations on the basis of a response inputted through the input module for each of a plurality of events generated through the communication module, and display the same on the display.