Abstract: A method for selecting an application and associated operational guidance to utilize on a mobile device is disclosed. In one embodiment, such a method identifies a selected environment of interest. Within the selected environment, the method identifies one or more applications that are commonly utilized by users within the selected environment and documents the one or more applications. The method detects physical entry of a particular user into the selected environment and, in response to detecting the entry, automatically notifies the particular user of the one or more applications that are commonly utilized within the selected environment. In certain embodiments, the method enables the user to quickly launch the one or more applications and/or provides operational guidance to the user with regard to using the one or more applications. A corresponding system and computer program product are also disclosed.

Abstract: A computer-implemented method for generating personalized audio data is disclosed. The computer-implemented method includes receiving user input data, wherein the user input data is at least one of text or audio. The computer-implemented method further includes segmenting the user input data into a set of sentences. The computer-implemented method further includes generating, for each sentence in the set of sentences, a voice image, wherein the voice image includes at least one pronunciation tag and wave line associated with a sentence. The computer-implemented method further includes modifying the user input data based, at least in part on, the wave line and pronunciation tag of the voice image.

Abstract: Content for products can be identified. For each identified content, at least one class to which the first content pertains can be predicted using an artificial intelligence multiclass model. For each identified first content that corresponds to the at least one class, a support level of the product with regard to at least one class can be predicted using artificial intelligence binary class models. For each identified product, data indicating the product and the support level of the product with regard to the at least one class can be added to a data table. A product features map based on the data indicating the products and a support level of each product with regard to the at least one class can be generated and output.

Abstract: Embodiments of the invention are directed to a computer-implemented method of operating a multi-screen virtual reality environment. The computer-implemented method includes performing a wall arrangement and transmission (WA&T) protocol that includes receiving at a second module a function transmitted by a first module over a network to the second module. The second module and the function received over the network are used to generate priority data that identifies a priority of each of a plurality of individual video streams generated by a plurality of video sources. Based at least in part on the priority, the second module is used to generate reduced-size video streams that include selected ones of the plurality of individual video streams. The second module transmits the priority data and a multi-screen video stream that includes the reduced-size video streams and non-reduced-size video streams of the plurality of individual video streams.

Abstract: Methods, systems, computer program products for Program Integrated Information (PII) translation management of an application are provided. The method, according to an embodiment of the present invention, PII translation corresponding to the application of a base version is determined as PII translation of a base version by one or more processing units, and then differences between PII translation corresponding to the application of a subsequent version and PII translation of the base version is determined as PII translation of a subsequent version. Then, in a data structure, it is recorded with PII translation of the base version as a starting node of the data structure and PII translation of the subsequent version as a subsequent node of the starting node, wherein nodes in the data structure are correlated to and accessible to the application of corresponding versions.

Abstract: Content for products can be identified. For each identified content, at least one class to which the first content pertains can be predicted using an artificial intelligence multiclass model. For each identified first content that corresponds to the at least one class, a support level of the product with regard to at least one class can be predicted using artificial intelligence binary class models. For each identified product, data indicating the product and the support level of the product with regard to the at least one class can be added to a data table. A product features map based on the data indicating the products and a support level of each product with regard to the at least one class can be generated and output.

Abstract: A computer-implemented method, system and computer program product for identifying equivalent technical terms. A deep learning model is trained to identify equivalent technical terms. The deep learning model is then applied to a new document. The sentences of the document are analyzed to identify technical terms. Text is then analyzed surrounding the technical term identified in the document to determine the meaning of such text. A glossary list is then reviewed to determine if the identified meaning of the analyzed text matches a meaning/concept in the glossary list linked to a technical term. In response to determining that the meaning of the analyzed text matches a meaning/concept in the glossary list linked to an equivalent technical term, the technical term in the document is annotated with the equivalent technical term. In this manner, non-standard equivalent technical terms in different documents with the same meaning/concept are able to be identified.

Abstract: An example operation may include one or more of creating a smart contract with a conditional result distribution schedule for one or more referral events performed by account profiles associated with approved sites, storing the smart contract in a blockchain, identifying the one or more referral events being performed on the one or more approved sites, and storing the one or more referral events in the blockchain.

Abstract: A plurality of slang sentences and respective explanations for the plurality of slang sentences are extracted from audio or video data. A set of training samples are generated by clustering the plurality of slang sentences and the explanations. Each of the training samples comprises at least one slang sentence and at least one explanation corresponding to same slang. A model is trained based on the set of training samples, such that the trained model identifies slang from an input sentence and provides at least one explanation for the identified slang. In other embodiments, another method, systems and computer program products are disclosed.

Abstract: Methods, systems, computer program products for Program Integrated Information (PII) translation management of an application are provided. The method, according to an embodiment of the present invention, PII translation corresponding to the application of a base version is determined as PII translation of a base version by one or more processing units, and then differences between PII translation corresponding to the application of a subsequent version and PII translation of the base version is determined as PII translation of a subsequent version. Then, in a data structure, it is recorded with PII translation of the base version as a starting node of the data structure and PII translation of the subsequent version as a subsequent node of the starting node, wherein nodes in the data structure are correlated to and accessible to the application of corresponding versions.

Abstract: A method, computer program product, and computing system for receiving a presentation file including one or more audio portions and one or more textual portions. An audio transcript of the one or more audio portions of the presentation file may be generated. A textual transcript of the one or more textual portions of the presentation file may be generated. One or more rich portions of the presentation file may be determined based upon, at least in part, a comparison of the audio transcript and the textual transcript. At least the one or more rich portions of the presentation file may be presented.

Abstract: An example operation may include one or more of creating a smart contract with a conditional result distribution schedule for one or more referral events performed by account profiles associated with approved sites, storing the smart contract in a blockchain, identifying the one or more referral events being performed on the one or more approved sites, and storing the one or more referral events in the blockchain.

Abstract: A method, computer program product, and computing system for receiving a presentation file including one or more audio portions and one or more textual portions. An audio transcript of the one or more audio portions of the presentation file may be generated. A textual transcript of the one or more textual portions of the presentation file may be generated. One or more rich portions of the presentation file may be determined based upon, at least in part, a comparison of the audio transcript and the textual transcript. At least the one or more rich portions of the presentation file may be presented.

Abstract: A method, system, and computer program product for determining and improving treatment points includes: configuring one or more treatment templates, the one or more treatment templates including service criteria and treatment points; receiving a treatment request from a computing device, the treatment request including an identification of a problem area of a user of the computing device; selecting a first treatment template from the one or more treatment templates based on the treatment request, the first treatment template including treatment points; transmitting the treatment points from the treatment template to the computing device; collecting patient treatment responses from the computing device; analyzing the treatment responses using natural language processing, image analysis, and learning modules; identifying adjusted treatment points based on the analysis; generating a second treatment template using the patient treatment responses and the adjusted treatment points.

Abstract: A method, system, and computer program product for determining and improving treatment points includes: receiving an identification of a problem area provided by a user; receiving instructions for treating the problem area from a server, the instructions including at least suggested treatment points; generating an output of the suggested treatment points, where the output transmits the suggested treatment points to the user; monitoring real time treatment responses of the user, the treatment responses including at least one of biometric responses and treatment gestures at the problem area; analyzing the treatment responses; generating adjusted treatment points based on the analyzing; generating treatment records based on the treatment responses and the adjusted treatment points, where the treatment records indicates a result of the suggested treatment points; and transmitting the treatment records to the server to enable the server to generate a treatment template of the user.

Abstract: Determination of a dynamic meet location for multiple individuals using current conditions. Taking into account a variety of external conditions (including traffic, travel speed, etc.), a meet location is selected and dynamically updated for multiple individuals based, at least in part, on a set of initial conditions.

Abstract: Determination of a dynamic meet location for multiple individuals using current conditions. Taking into account a variety of external conditions (including traffic, travel speed, etc.), a meet location is selected and dynamically updated for multiple individuals based, at least in part, on a set of initial conditions.

Abstract: Embodiments of the present invention provide a method and system for embedding, transmitting and receiving a Quick Response (QR) code in an audio file. Initially, a set of data representing a QR Code and an audio file is received. A third file is generated based on a combination of the QR code and the audio file. The third file is broadcasted and received by a device. Data representing the QR code is extracted from the third file and displayed as an object on the device.