Abstract: Provided are computer program product, system, and method for using a machine learning module to determine a group of execution paths of program code and a computational resource allocation to use to execute the group of execution paths. Information on activity steps in program code and a system load of a system in which the program code is executed are provided as inputs to a resource allocation machine learning module. The resource allocation machine learning module processes the provided inputs to output computational resource allocations for execution paths of activity steps in the program code to execute in parallel, including memory and processing resource allocations optimized according to an optimization criteria. The outputted computational resource allocations are allocated to execute the activity steps in the execution paths in parallel.

Abstract: A computer-implemented method for automatically pairing two devices is disclosed. The computer-implemented method includes detecting a first type of movement from a first device. The computer-implemented method further includes determining that the first device is located within a threshold distance of a second device when the first type of movement from the first device is detected. The computer-implemented method further includes determining whether an auto-pairing policy matches the first type of movement from the first device and the threshold distance between the first and second devices. The computer-implemented method further includes, responsive to determining that the auto-pairing policy matches the first type of movement from the first device and the threshold distance between the first and second devices, automatically pairing the first device and the second device.

Abstract: Disambiguating question answering responses by receiving voice command data associated with a first user, determining a first user identity according to the first user voice command data, determining a first user activity context according to the first user voice command data, determining a first response for the first user, receiving voice command data associated with a second user, determining a second user identity according to the second user voice command data, determining a second user activity context according to the second user voice command data, determining a second response for the second user, determining a predicted ambiguity between the first response and the second response, altering the first response according to the predicted ambiguity, and providing the first response and the second response.

Abstract: According to one embodiment, a method, computer system, and computer program product for cloud service brokerage. The embodiment may include receiving a data set and user defined contextual parameters relating to a machine learning (ML) problem of a user to be performed on the data set. The embodiment may include identifying a resource requirement of the ML problem and available resources. The embodiment may include enabling user configuration of the contextual parameters in an interactive augmented reality (AR) view. The embodiment may include identifying a set of clusters upon which to execute computing tasks of the ML problem. The set of clusters is identified out of the available resources. The embodiment may include implementing a ML evaluation process to determine an optimized load distribution model for execution of the computing tasks within the set of clusters. The embodiment may include implementing the optimized load distribution model.

Abstract: According to one embodiment, a method, computer system, and computer program product for using mobile devices for anomaly detection in a vehicle. The present invention may include a computer receives sensor data from at least one mobile device associated with the vehicle, where the mobile device having one or more sensors. The computer analyzes data from the one or more sensors to identify an anomaly associated with the vehicle. The computer identifies a message associated with the anomaly. The computer determines an urgency value of the message based on the anomaly. The computer transfers the message with the urgency value to the vehicle and causes the vehicle to notify the message using a vehicle notification device.

Abstract: Mechanisms are provided for collecting user feedback information from sensors associated with user devices in accordance with smart contract rules. For an event context for an event, a provider portion of a smart contract is generated. The event context indicates an occurrence within the event that is detected through processing patterns of event data collected for the event, and the provider portion specifies a type of user feedback that is of interest to a provider. For the event context, a user portion of the smart contract is generated, where the user portion specifies a type of user feedback that a user of a user device permits to be shared with the provider. A smart contract comprising the smart contract rules is generated by combining the provider portion with the user portion. Collection of user feedback information from the user device is controlled according to the smart contract data structure.

Abstract: In a method for labeling nutritional parameters a processor receives a food order. The food order a first user profile identifying user preferences. A processor tracks preparation specifics of the food order. A processor determines a custom label for the food order based on the first user profile and the preparation specifics.

Abstract: Aspects of the present invention disclose a method for configuring security settings of a defined area that includes internet of things (IoT) devices for contextual situations utilizing virtual reality (VR) and gamification. The method includes one or more processors identifying an IoT device within a defined area. The method further includes collecting data of the IoT device corresponding to the defined area. The method further includes generating a first VR interactive scene in a VR environment corresponding to physical attributes of the defined area, wherein the VR interactive scene is based on a set of conditions of a knowledge corpus corresponding to the collected data of the IoT device. The method further includes identifying a security threat in the VR environment. The method further includes configuring a security rule of the defined area that modifies functions of the IoT device based on the set of conditions.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for managing a consumption of food. The exemplary embodiments may include collecting data of a user and of one or more food items, extracting one or more features from the collected data, and determining a food consumption recommendation based on the extracted one or more features and one or more models.

Abstract: Aspects of the present invention disclose a method for dynamic password inducing techniques for security configuration and validation of a user. The method includes one or more processors identifying textual data of a user. The method further includes generating a set of password parameters for a password. The method further includes identifying one or more password dynamisms of the user from one or more sources, where the one or more password dynamisms are dynamic inputs, from the user, to an authentication device. The method further includes modifying the textual data to include a text placeholder, wherein the text placeholder includes a replacement parameter that induces the user to provide a password dynamism. The method further includes configuring the set of password parameters for the password of the user based at least in part on the one or more password dynamisms of the user from the one or more sources.

Abstract: Determining job requirements and assessing a job candidate can include generating a set of job requirements and ranking a job candidate based a comparison of attributes of the job candidate with corresponding job requirements. The set of job requirements can be generated and dynamically refined by searching networked systems and extracting data therefrom in response to specifications determined by natural language processing of user input.

Abstract: Determining job requirements and assessing a job candidate can include generating a set of job requirements and ranking a job candidate based a comparison of attributes of the job candidate with corresponding job requirements. The set of job requirements can be generated and dynamically refined by searching networked systems and extracting data therefrom in response to specifications determined by natural language processing of user input.

Abstract: Embodiments generally relate to conducting and analyzing electronic surveys. In some embodiments, a method includes determining activity information associated with a first user. The method further includes providing a survey to the first user, wherein the first user is a survey participant, and wherein the survey includes the plurality of survey questions for the first user to answer. The method further includes receiving a plurality of survey answers from the first user, wherein the plurality of survey answers is responsive to the plurality of survey questions. The method further includes determining a sentiment score based at least in part on the plurality of survey answers provided by the first user. The method further includes associating the activity information with the sentiment score. The method further includes generating a recommendation for a second user based at least in part on the activity information and the sentiment score.

Abstract: A method, computer system, and computer program product for cognitive assessment recommendation and evaluation are provided. The embodiment may include receiving a candidate's resume and a job description from a database. The embodiment may also include generating interview questions based on common keywords or key phrases found in the resume and the job description. The embodiment may further include identifying critical points to be verified based on analysis of candidate responses to the generated interview questions. The embodiment may also include validating the critical points against data obtained from public records, official documentation, and documents submitted by the candidate. The embodiment may further include creating referenceable content which includes the identified critical points and a summary of the data used to validate the critical points.

Abstract: A method of verifying job applicant identity during a human resources job screening process includes capturing a first voice signature of a job applicant, storing the voice signature, capturing a second voice signature of the job applicant, comparing the second voice signature to the first voice signature, and providing one of a first output if the second voice signature matches the first voice signature and a second output if the second voice signature does not match the first voice signature.

Abstract: In an approach to paraphrasing text, a computing device receives text as viewed by a user. The computing device determines whether a personalized dictionary is available, where the personalized dictionary includes a writing history of the first user. In response to determining the personalized dictionary is available, the computing device retrieves the personalized dictionary. The computing device determines, based, at least in part, on the personalized dictionary, whether the first user prefers paraphrasing of the received text. In response to determining the first user prefers paraphrasing of the received text, the computing device determines paraphrased text based on contents of the personalized dictionary. The computing device displays the paraphrased text to the first user.