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: Aspects of the present disclosure relate generally to software development environments and, more particularly, to systems, computer program products, and methods of automating software development, security, and operations (DevSecOps). For example, a computer-implemented method includes receiving, by a processor, a plurality of infrastructure as code files specifying a configuration of a runtime environment for a deployable image of source code in a continuous integration and continuous delivery pipeline for a cloud platform; generating, by the processor, compliance code for at least one file of the plurality of infrastructure as code files; building, by the processor, the deployable image of the source code in the continuous integration and continuous delivery pipeline according to the configuration specified by the plurality of infrastructure as code files and the compliance code; and deploying, by the processor, an instance of the image in the runtime environment.

Abstract: According to one embodiment, a method, computer system, and computer program product for gesture-controlled private messaging is provided. The embodiment may include establishing a virtual conference room and connections thereto by at least an initiating participant, a recipient participant, and a non-recipient participant. The embodiment may also include detecting a gesture by the initiating participant indicating at least a private communication. The embodiment may further include determining the recipient participant of the private communication. The embodiment may also include altering a user interface of the virtual conference room, of the initiating participant and the recipient participant, to display an indication of the private communication. The embodiment may further include transmitting a message from the initiating participant to the recipient participant.

Abstract: A computer-implemented method, including: receiving, by a computing device, a post referring to a multimedia content; identifying, by the computing device, a time in the post; generating, by the computing device, a validity score based on analyzing contextual data of the time in the post; determining, by the computing device, a correlation between the time in the post to the multimedia content based on the validity score; and publishing, by the computing device, the post with an interactive link to a corresponding time of the multimedia content based on the determined correlation.

Abstract: A marking onto a collaboration board, located in a first location, is detected. The marking includes the creation of one or more content elements on the collaboration board. Responsive to detecting the markings one or more content elements on the collaboration board are analyzed. A first content element of the one or more content elements is classified based on analyzing the one or more content elements. The first content element is classified as a first privileged content element. The first location of the collaboration board is scanned. The scanning is based on the classifying of the first privileged content element. An unauthorized person is identified based on scanning the first location. The unauthorized person is not permitted to view the collaboration board. A security response is performed on the collaboration board regarding the one or more content elements. The security response is performed responsive to identifying the unauthorized person.

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: An embodiment includes building a hierarchical data structure using a hybrid hierarchical clustering process. The hybrid hierarchical clustering process comprises one or more iterations of a level-building process. An embodiment of the level-building process comprises building, by a classical processor, a first parent level of a current uppermost level of the hierarchical data structure by clustering classically-encoded clusters of the current uppermost level. The embodiment of the level-building process also comprises identifying, by a quantum processor, a set of candidate clustering options for clustering quantum-encoded clusters of the current uppermost level for a second parent level, including forming each of the set of candidate clustering options in parallel using respective different quantum encoding spaces. The embodiment of the level-building process also comprises building, by the classical processor, the second parent level based on a subset of the candidate clustering options.

Abstract: A method, computer system, and a computer program product for online posting annotation is provided. The present invention may include identifying a topic in an online posting. The present invention may include determining that a comment to the online posting relates to the online posting. The present invention may include adding at least one detail from the comment to the online posting. The present invention may include tagging the at least one added detail with at least one piece of metadata. The present invention may include validating a viewing access based on the at least one piece of metadata and displaying an amended online posting.

Abstract: A computer-implemented method includes: obtaining, by a computing device, data items from data sources; classifying, by the computing device, the data items into categories using a first machine learning (ML) model; generating, by the computing device, a risk score of a first data center based on the classified data items and using a second machine learning (ML) model; determining, by the computing device, the risk score of the first data center exceeds a threshold; and in response to the determining the risk score of the first data center exceeds the threshold, initiating, by the computing device, a migration of the first data center to a second data center.

Abstract: A computer-implemented method according to one embodiment includes building a knowledge graph of resource vendors. The method further includes identifying resources that are in relatively short supply in a host system, and determining, using a matching algorithm, a first of the resource vendors in the knowledge graph from which to temporarily lease the identified resources to the host system. The first resource vendor includes the identified resources and satisfies policy prerequisites of the host system. A lease is caused to be issued, from the first resource vendor to the host system, for the identified resources. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Abstract: Using a trained neural network to transform user ratings into standardized user ratings is provided. Respective attribute-based leniency and strictness rating scores are generated for a plurality of attributes associated with a product category using the trained neural network based on historical user ratings of products in the product category. A set of attributes associated with a product included in the product category is identified. An overall leniency and strictness rating score is determined for the product using the trained neural network based on a set of attribute-based leniency and strictness rating scores for the set of attributes associated with the product included in the product category. A user rating of the product is received. The user rating of the product is adjusted based on the overall leniency and strictness rating score for the product included in the product category to form a standardized user rating for the product.

Abstract: A method, computer program product, and system include a processor(s) that map a physical environment by utilizing one or more image capture devices to scan aspects of the physical environment. The mapping identifies contamination levels and features associated with objects in the environment. The processor(s) utilizes unsupervised learning and supervised learning to identify activities engaged in by a user in the environment. The processor(s) determines that a trigger event has occurred. The processor(s) identify an activity engaged in by the user and determine if a user interface utilized by the program code to display results is visible to the user. If the processor(s) determines that the interface is not visible, the processor(s) selects an alert mechanism to alert the user to the trigger event and alerts the user to the trigger event with the selected alert mechanism.

Abstract: A computer-implemented method for modifying audio-based communications produced during a conference call is disclosed. The computer-implemented method can include monitoring a plurality of utterances transmitted via an audio feed of a device connected to the conference call. The computer-implemented method can identify a first unwanted audio component transmitted via the audio feed. The computer-implemented method can actively modify the audio feed by removing the first unwanted audio component from the audio feed.

Abstract: Aspects of the invention include systems and methods configured for hyper-personalized feature morphing of an avatar within a metaverse. A non-limiting example computer-implemented method includes predicting a next interaction for the avatar and comparing one or more current features of the avatar to one or more feature requirements for the predicted next interaction. The method further includes determining, based on the comparison, that one or more current features of the avatar do not match one or more feature requirements for the predicted next interaction. Responsive to the determination, features of the avatar are altered to satisfy the one or more feature requirements for the predicted next interaction.

Abstract: Embodiments herein disclose computer-implemented methods, computer program products and computer systems for context based online garage offering. The computer-implemented method may include receiving listing data from the seller users corresponding to items offered for sale, wherein the one or more seller users and one or more buyer users are registered with a web-based exchange platform based on user registration data; determining a seller context for the items based on the user registration data and the listing data; receiving historical item data for the items; determining disposal costs versus carry costs for the items based on the historical item data; determine potential buyers based on the listing data and potential buyer activity of the buyers; determining a buyer context based on the user registration data and the potential buyer activity; generating offer data for the items; and presenting the offer data to the seller users via a computing device user interface.

Abstract: Generating a query response by receiving data for a non-user utterance, determining a question answering (QA) system response to the non-user utterance, receiving data for a user utterance responsive to the non-user utterance, determining a confidence score for the user utterance, determining a deviation between the user utterance and the QA system response, and providing the QA system response according to a combination of the deviation and the confidence score.

Abstract: From a set of natural language text documents, a concept tree is constructed. For a node in the concept tree a polarity of the subset represented by the node is scored. A second set of natural language text documents is added to the subset, the adding resulting in a modified subset of natural language text documents having a polarity score within a predefined neutral polarity score range. From the modified subset, a bin of sentences is selected according to a sentence selection parameter, a sentence in the bin of sentences being extracted from a selected document in the modified subset. A sentence having a factuality score below a threshold factuality score is removed from the bin of sentences. From the filtered bin of sentences a new natural language text document corresponding to the filtered bin of sentences is generated using a transformer deep learning narration generation model.

Abstract: Disclosed are techniques for faceted search queries through interactive graphical objects. A text search query corresponding to a faceted search is received from a user, which is then parsed for keywords. Attributes associated with the keywords are then extracted and used to generate a graphical representation corresponding to the results associated with the text search query. Further user input to refine the query is provided through manipulation of the graphical representation by the user (such as dragging a leg of a table to change the length of legs on a table) corresponding to modification of one or more facets of the faceted search, narrowing the available search results corresponding to the faceted search.

Abstract: An embodiment associates a user's post data that with a category from a predefined list of categories based on the post content. The embodiment analyzes, using machine learning, the post data for potentially sensitive content and generates a first sensitive data indicator identifying potentially sensitive information in the post data and an associated first confidence value. The embodiment generates explanatory data identifying a feature that contributed to the post data being identified as potentially sensitive, and generates a modified version of the post data that modifies the feature. The embodiment analyzes the modified post data for potentially sensitive content and generates a second sensitive data indicator and a second confidence value indicating that the post data is more likely to contain sensitive data than the modified post data. The embodiment alerts the user regarding the potentially sensitive data and recommends changing the post based on the modified feature value.

Abstract: According to one embodiment, a method, computer system, and computer program product for provisioning a tag schema. The embodiment may include determining data types for tag-keys within an existing ecosystem of tags. Each tag of the existing ecosystem comprises a tag-key and a tag-value. The embodiment may include performing pairwise clustering of the tags within the ecosystem. The embodiment may include identifying a main tag-key within each cluster of tags. The embodiment may include grouping the clusters into a broader category. The embodiment may include providing a tag schema recommendation for the ecosystem based on the grouped clusters.