Abstract: Embodiments provide a computer-implemented method for rendering advertisements in a Mixed Reality space, including: profiling a plurality of users in a smart home sharing the MR space; building a social network graph between the plurality of users; building a user embedding matrix based on the social network graph; recommending a plurality of first advertisements for one or more target users; building a joint embedding matrix across the plurality of users and the plurality of first advertisements; identifying a particular position and a particular time period for the one or more target user, while the remaining users are not viewing the particular position during the particular time period; selecting one or more advertisements from the plurality of first advertisements based on the joint embedding matrix; and rendering the one or more advertisements to the one or more target users at the particular position during the particular time period.

Abstract: An example operation may include one or more of: receive a first set of annotation information, determine a first approval decision for the first set of annotation information, record the first approval decision in a blockchain, retrieve a first set of approval decisions from the blockchain, generate a consensus based on the first set of approval decisions, and record the consensus in the blockchain.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions. The graphical elements also present identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes building and providing, for a task of the tasks, a task element with first features corresponding to subtasks of the task and second features providing relations between the first features.

Abstract: A computer-implemented method, a computer system and a computer program product use artificial intelligence (AI) to extract information from a phisher. The method may include identifying a malicious email on a server. The malicious email comprises an attempt by the phisher to compromise a user. The method may also include generating an automated conversational agent that poses as the user. The method may further include transmitting a message to the phisher by the automated conversational agent. The message indicates that the user has been compromised. In addition, the method may include receiving a response from the phisher. Lastly, the method may include determining an intent of the phisher based on the response.

Abstract: In an approach for improving operational efficiencies in IoT agricultural ecosystems, a processor receives a request from a user for a production plan to modify one or more values of a set of values of an area of interest. A processor maps the area of interest using a set of data originating from a LIDAR instrument to create a digital elevation model of the area of interest. A processor creates a knowledge set to train a decision engine. A processor calculates one or more modifications to be made to the one or more values of the set of values of the area of interest. A processor generates a map of applicable land options that the user may interact with to select the one or more modifications to be made to the one or more values of the set of values. A processor plots a finalized rendering of the production plan.

Abstract: Real-time resource deployment and integration can include determining one or more performance priorities for a user computer system based on a plurality of system-generated processing metrics. Based on the one or more performance priorities, a candidate cloud-based service can be determined among one or more previously unanalyzed cloud-based services identified by an automated watcher configured to search a plurality of communication network sites. The current performance of the user computer system can be compared to a potential performance of the user computer system were the candidate cloud-based service deployed. A script can be generated in response to determining, based on the comparing, that deploying the candidate cloud-based service improves performance of the user computer system with respect to the performance priorities. The script reconfigures the user computer system in real-time by automatically deploying the candidate cloud-based service.

Abstract: Computer technology for helping to ensure various types of compliance for a first user on a multi-cloud platform, the technology including the following operations: (i) receiving an initial version of a compliance template for use with a multi-cloud computer system; (ii) applying corrective ensemble modelling under a recommender and reinforcement framework to dynamically update the compliance template to obtain an updated version of the compliance template; (iii) applying corrective ensemble modelling under a recommender and reinforcement framework to dynamically select a recommended set of compliance tools for the first user; and (iv) validating multi-cloud compliance using the template and tools.

Abstract: In an approach to creating and using a reinforcement learning model for personalizing a recommendation of a parking spot, one or more computer processors receive a first destination associated with the vehicle. One or more computer processors determine a parking spot availability in proximity to the destination. One or more computer processors determine a recommended parking spot location. One or more computer processors display the recommended parking spot location to the user. One or more computer processors determine a first parking spot selection. One or more computer processors receive a first satisfaction rating associated with the recommended parking spot location.

Abstract: In an approach to meeting summarization for disconnected participants, one or more computer processors detect a start of a collaborative meeting. One or more computer processors monitor a connection to the collaborative meeting of each of one or more participants. One or more computer processors determine a first participant of the one or more participants has disconnected from the collaborative meeting. One or more computer processors record the collaborative meeting. One or more computer processors determine the first participant has re-connected with the collaborative meeting. One or more computer processors synthesize, a first summary of a portion of the collaborative meeting missed by the first participant. One or more computer processors to synthesize, a second summary of a portion of the collaborative meeting recorded after the first participant re-connected with the collaborative meeting. One or more computer processors present the first summary and the second summary to the first participant.

Abstract: A computer-implemented method, a computer system and a computer program product refine service inquiries through an understanding of user context. The method includes receiving a service inquiry from a user on a computing device. The method also includes capturing movement data within a user environment. The movement data is selected from a group consisting of audio data, video data and telemetry data extracted from a second device in the user environment. The method further includes determining a user context by correlating motion and position of the user with respect to the user environment. In addition, the method includes generating a set of predicted modifications to the service inquiry based on the user context. Lastly, the method includes displaying the set of predicted modifications to the service inquiry on the computing device.

Abstract: A method for entity validation of a content originator includes identifying a content post in a public forum viewable by a user, where an entity claims to be an originator of the content post. The method also includes, responsive to gathering metadata for the content post, determining, utilizing natural language processing and a classification algorithm, a topic for the content post based on a plurality of extracted words from the content post. The method also includes identifying a plurality of similar content posts relative to the content post based on the topic and the entity and determining a score for the entity claiming to be the originator of the content post, where the score represents a likelihood that the claimed entity is the originator of the content post. The method also includes, responsive to the score being below a verification threshold value, performing ameliorative actions on the content post.

Abstract: An embodiment for generating an electronic coupon based on user preferences is provided. The embodiment may include receiving real-time and historical data relating to one or more reward coupons. The embodiment may also include identifying a contextual situation of the user and one or more preferences of the user regarding a coupon reward type. The embodiment may further include identifying one or more vendors that match with the one or more preferences of the user. The embodiment may also include generating one or more electronic coupons and presenting the one or more generated electronic coupons to the user. The embodiment may further include in response to determining the one or more generated electronic coupons match at least one preference of the user, adding the one or more generated electronic coupons that match the at least one preference of the user to an account of the user.

Abstract: An embodiment includes retrofitting an existing control device with an automation panel that senses manual actuation of a control element of the control device, and automatically actuates the control element in response to a specified control signal. The embodiment collects state data indicative of an actuation state of the control element and context data of conditions at a time that the state data is collected, and generates a training dataset comprising collected state data and sensor data. It then uses this data to train a classification model to predict a control element actuation state based on sensor data. The embodiment deploys the trained classification model to process sensor data and upon detecting a mismatch between a predicted actuation state output from the trained classification model and an actual actuation state of the control element, the embodiment transmits the specified control signal to the automation panel to actuate the control element.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present (i) visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions and (ii) identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes, for each of the tasks, building and providing a respective task element that reflects identified features of a set of user interactions of one or more users in progressing through that task. Building a task element for a task includes building the task element as a polygon having vertices corresponding to subtasks of the task and edges between the vertices.

Abstract: A second action is identified by the edged device. The second action is associated with a second networked device of the plurality of networked devices in the environment. The second networked device is unrelated to the first networked device. A relationship is detected between the first networked device and the second networked device by the edge device. A network device bubble is generated by the edge device. The network device bubble is based on the relationship that is detected.

Abstract: A method, computer system, and a computer program product for automated urgency detection is provided. The present invention may include capturing at least one caller parameter. The present invention may include determining whether an incoming call is urgent. The present invention may include conveying a determined urgency to a receiver of the incoming call.

Abstract: Blockchain-based appointment management is provided by maintaining, in a blockchain network with which a provider and a collection of users engage, a schedule of appointments between the provider and individual users, and managing appointment scheduling (including changing existing appointments) between the provider and user(s) of the collection of users via recordation of blockchain transactions on a blockchain of the blockchain network.

Abstract: A computer-implemented method for printing customized 3D medication based on the current user data and one or more medical records of the user. The method obtains current user data via one or more user IoT sensors and accesses one or more medical records of the user. The method further determines a medication design based on the obtained current user data and the accessed one or more medical records of the user and prints a 3D medication based on the determined medication design.

Abstract: Personalizing sensory feedback based on user sensitivity analysis includes maintaining user-specific parameters for provision of sensory feedback to a user in extended reality. The user-specific parameters apply to specific contextual situations and dictate levels of sensory feedback to provide via stimulus device(s) in the specific contextual situations. Based on an ascertained contextual situation of the user interacting in a target extended reality environment, a set of sensory feedback level parameters is selected for provision of sensory feedback to the user in the target extended reality environment, and stimulus device(s) in the target extended reality environment is/are automatically controlled in the provision of the sensory feedback to the user based on one or more of the selected parameters. The automatically controlling includes electronically communicating with the stimulus device(s) to control at least one stimuli provided to the user by the stimulus device(s).

Abstract: A method, computer system, and a computer program product for context-based wake word threshold modification is provided. The present invention may include receiving an audio data generated by a computing device operating in a sleep mode. The present invention may include processing the received audio data to determine a context associated with a user of the computing device. The present invention may include in response to detecting a potential wake word in the received audio data, calculating a wake word confidence score associated with an accuracy of the detected potential wake word. The present invention may include retrieving a wake word threshold, wherein the wake word threshold is determined based on the context associated with the user of the computing device. The present invention may include, in response to the calculated wake word confidence score exceeding the retrieved wake word threshold, activating a wake mode of the computing device.