Abstract: Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.

Abstract: Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.

Abstract: Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.

Abstract: A method, computer system, and computer program product for a conversational system driven by a semantic network with a library of templated query operators are provided. The embodiment may include loading one or more operators for the conversational system to the library of templated query operators. The embodiment may also include receiving a query statement from a user. The embodiment may further include identifying an operator from the library to process the received query. The embodiment may also include identifying one or more input terms for the identified operator within the received query. The embodiment may further include generating one or more output terms based on processing the one or more identified input terms using the identified operator. The embodiment may also include generating a natural language response to the received query based on the one or more generated output terms.

Abstract: Aspects of the present disclosure concern cognitive interview management. Audio data from an interviewer in an interview is received. The audio data is processed by converting the audio data into structured text. The structured text is then analyzed to identify questions in the structured text. The structured text data is also analyzed to determine at least one tonal dimension, at least one class dimension, and at least one difficulty dimension of the structured text. A feature vector is then generated having the determined dimensions. A reference feature vector is received having at least one reference tonal dimension, at least one reference class dimension, and at least one reference difficulty dimension. The generated feature vector and reference feature vector are then compared. A determination is made whether the comparison satisfies a match threshold, and in response to the comparison satisfying the match threshold, the interviewer is selected for a panel.

Abstract: One embodiment provides a method, including: obtaining a plurality of chatlogs involving a conversational agent, wherein the plurality of chatlogs represent interactions between users and the conversational agent; identifying dialog states of the conversational agent, wherein each dialog state corresponds to a possible response by the conversational agent; generating a dialog tree including one or more dialog flows of the conversational agent, wherein a dialog flow represents an interaction that occurred between the conversational agent and a user; and providing a conversational reflow user interface for a conversational reflow system allowing execution of the conversational agent to mimic interactions between users and the conversational agent, wherein the conversational reflow system advances through dialog flows based upon input provided by a user at the conversational reflow user interface and the conversational reflow user interface displays output based upon the dialog states of the dialog tree.

Abstract: Methods, systems and computer program products for speech and gesture interaction of multiple users with devices using voice activated interfaces are provided herein. A computer-implemented method includes transmitting a pilot signal from a device comprising a voice activated interface, the pilot signal having a frequency, detecting motion of at least one user around the device, associating the detected motion with a gesture, and performing a function in response to the gesture. Detecting the motion includes receiving a reflected signal of the pilot signal caused by the motion of the at least one user, and detecting a shift in the reflected signal from the pilot signal, wherein detecting the shift comprises determining one or more differences between a waveform corresponding to the pilot signal and a waveform corresponding to the reflected signal.

Abstract: One embodiment provides a method, including: obtaining, at an information handling device, an image of a person; determining physical characteristics of the person by analyzing the image; receiving an image of at least one selected piece of jewelry, the selected jewelry having a given jewelry profile, wherein the jewelry profile describes features and construction of the selected piece of jewelry; overlaying the image of the at least one selected piece of jewelry onto an image of the person, wherein the overlaying comprises analyzing resizing the image of the at least one selected piece of jewelry to match the physical characteristics of the person, in view of the jewelry profile of the at least one selected piece of jewelry; and providing, on a display of the information handling device, an output image of the image of the person comprising the overlaid image of the at least one piece of jewelry.

Abstract: Methods, systems, and computer program products for systematic browsing of automated conversation exchange program knowledge bases are provided herein. A computer-implemented method includes generating one or more initial questions to be submitted to an automated conversation exchange program; generating one or more natural language variants of the initial questions; submitting the one or more natural language variants of the initial questions to the automated conversation exchange program; identifying one or more valid responses returned by the automated conversation exchange program in response to the submitted natural language variants of the initial questions; deriving one or more items of data from the identified valid responses; storing the derived items of data in an automated conversation exchange program knowledge base; and systematically browsing the automated conversation exchange program knowledge base in connection with one or more application tasks.

Abstract: A blockchain configuration may be used to store a distributed ledger for an energy optimization procedure. One example method of operation may include measuring energy metrics associated with network devices operating on a network via meter devices, identifying potential changes to existing energy usage of the network based on the energy metrics, logging the energy metrics and the potential changes as part of a distributed ledger, and storing the distributed ledger in a blockchain block.

Abstract: Methods, systems, and computer program products for search engine optimization techniques are provided herein.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: using an electronic device to engage in an interactive session between a user and a virtual assistant; receiving, at the electronic device, audio input from the user, wherein the audio input comprises a problem-solving query corresponding to a request by the user for assistance in solving a problem related to at least one object; parsing the audio input to identify at least one annotated video file corresponding to the at least one object and the problem-solving query; determining a state of the object and a location in the at least one annotated video file corresponding to the state of the object; and providing, to the user and based on the location in the at least one annotated video file, instructional output related to the problem-solving query.

Abstract: Methods, systems, and computer program products for exercise monitoring and coaching using audio devices are provided herein. A computer-implemented method includes processing a first set of one or more auditory prompts, wherein the first set of auditory prompts pertains to initiation of at least one activity with respect to a user; detecting, in connection with the first set of auditory prompts, one or more sets of movements being performed by the user, wherein said detecting comprises (i) emitting one or more acoustic waves towards the user and (ii) processing reflection of the one or more acoustic waves from the user; classifying, based on said detecting, the one or more sets of movements as one or more predefined exercises; and generating and outputting a second set of auditory prompts to the user, wherein the second set of auditory prompts pertains to the predefined exercises being performed by the user.

Abstract: One embodiment provides a method, including: receiving user voice input comprising a user command to perform an action; determining whether the user command comprises a high risk command or a low risk command; providing a first audible query and a second audible query, wherein the first audible query and the second audible query are related to a verification request for verifying that the user voice input is provided by a user and wherein an answer corresponding to one of the first audible query and the second audible query is stored in a system; receiving a first voice answer input responsive to the first audible query and a second voice answer input responsive to the second audible query; and performing, responsive to determining that at least one of the first voice answer input and the second voice answer input matches the answer stored in the system, the action.

Abstract: One embodiment provides a method, including: receiving, at a conversation agent, text-based input from a user and beginning a conversation between the user and the conversation agent; capturing at least one facial image of the user and analyzing the facial image to extract eye gaze information and facial expressions of the user; identifying, within the text based conversation, a concept of interest to the user, wherein the identifying comprises analyzing the eye gaze information to identify a position within the text-based conversation and determining the concept corresponding to the position within the text-based conversation; determining an emotion of the user in relation to the concept of interest, wherein the determining an emotion comprises analyzing the facial expressions of the user; and providing a text-based response to the user, wherein the text-based response is formulated in view of the determined emotion and the identified concept of interest.

Abstract: One embodiment provides a method, including: receiving information corresponding to a dialog flow between a conversational agent and a user; identifying, from the received information, dialog states, each dialog state corresponding to a possible response by the conversational agent; classifying a set of the identified dialog states as grounded dialog states, wherein the classifying comprises (i) receiving scoring input representing a desirability for each of the grounded dialog states and (ii) generating a score vector; assigning a score vector to each of the identified dialog states other than the grounded dialog states, wherein the assigning a score vector comprises extrapolating the score vector of a grounded dialog state to dialog states that the grounded dialog state is dependent upon; and computing an aggregate score vector for the dialog flow, wherein the aggregate vector score identifies an overall desirability of the dialog flow.

Abstract: Methods, systems and computer program products for securing access to sensor data are provided herein. A computer-implemented method includes obtaining sensor data from a user device indicative of user activity, detecting for a first time period activities of the user, generating a transformation key for the first time period, transforming sensor data obtained during the first time period utilizing the transformation key, and streaming the transformed sensor data to a plurality of applications. The method also includes determining whether respective ones of the applications have permitted activities that match the detected activities of the user and, responsive to matching the permitted activities of a given application to the detected activities of the user, providing the transformation key to the given application.

Abstract: A method for neutralizing a pattern of user activity, comprises collecting data corresponding to the user activity, generating a user distribution over a domain comprising a plurality of respective elements based on the collected data, determining a transformation function to neutralize the user distribution, and applying the transformation function to neutralize the user distribution.

Abstract: One embodiment provides a method, including: receiving a natural language query; selecting a disambiguation state model representing conversational dialog history, wherein the disambiguation state model comprises a plurality of nodes representing an entity, and a plurality of edges representing a path between two of the plurality of nodes, each of the plurality of edges including an assigned weight; traversing, the disambiguation state model using the natural language query to select a path to one of the plurality of nodes and providing the user the entity associated with the one of the plurality of nodes and iteratively selecting paths and nodes based upon input received from the user until a final node of the disambiguation state model is reached; providing a response to the natural language query based upon the entity of the final node; and updating the disambiguation state model based upon the traversed paths and nodes.

Abstract: Methods, systems, and computer program products for determining sensor placement and a reward sharing mechanism based on shared energy forecasting information are provided herein. A computer-implemented method includes processing multiple data streams derived from multiple respective energy-related sensors within a network, wherein each of the multiple energy-related sensors is linked to a respective one of multiple spatially distributed prosumers of the network; computing an expected utility, with respect to forecast accuracy of energy production within the network, of information captured by each of the multiple energy-related sensors based on said processing; determining a reward structure for each of the prosumers of the network based on the expected utility of the information captured by the energy-related sensors linked to each of the prosumers; and outputting a reward to each of the prosumers of the network in accordance with the determined reward structure.