Abstract: A method, computer system, and a computer program product for recasting repetitive messages is provided. Embodiments may include receiving, by a processor, a message. Embodiments may include determining, by the processor, whether the received message is repetitive. Embodiments may include rating, by the processor, an importance level of the received message. Embodiments may include determining a preference for recasting the received message.

Abstract: An embodiment includes processing a dataset to generate a set of feature vectors that include a first feature vector corresponding to a first concept within a user's areas of interest and a second feature vector corresponding to a second concept within the user's areas of study. The embodiment identifies clusters of the feature vectors and identifies key features that most contribute to influencing the clustering algorithm. The embodiment selects the first feature vector in response to a user query, and then selects the second feature vector based on an overlap between key features of the first and second feature vectors and a degree of dissimilarity between the first and second concepts. The embodiment outputs a query response that includes the second concept. The embodiment also determines an effectiveness value based on sensor data indicative of a user action responsive to the outputting of the response to the query.

Abstract: In an approach for conversational interchange optimization, a processor monitors conversations in a communication system. A processor generates a list of topics in the conversations. A processor determines a flow for each topic based on length of time, number of participants, and sentiment associated to each topic. The flow is the progress of interactions and shifts for each topic. A processor builds a statistical model for each topic based on the flow to predict success or failure of a topic progression for an incoming conversation. A processor updates the topic progression for the incoming conversation based on the predicted success or failure.

Abstract: A method, system and computer program product for improving the discoverability of messages on a social network. The creation of a proposed message that requests a response from a target audience is detected. The social network is then searched to identify search terms and posts related to the proposed message. Upon identifying the search terms, the search terms are ranked in order of usage among the identified posts. A list of identified search terms in order of rank is then presented to the user to modify the proposed message. The proposed message is modified using a search term selected by the user from the list of search terms. The modified message is then posted on the social network. In this manner, the message created by the user has been modified to improve the discoverability of the message on the social network and to increase responses from an appropriate target audience.

Abstract: Conversation slipstream propagation can include using machine learning to construct a conversations graph representing conversations conducted over an electronic communications network by a plurality of participants and collected from one or more messaging platforms. A conversation slipstream comprising one or more communications extracted from the conversations can be generated in response to receiving a secondary communication over the electronic communications network. Each of the one or more communications extracted is represented by a sub-graph of the conversations graph, each sub-graph corresponding to a graph of the secondary communication. The conversation slipstream can be presented to at least one participant to the secondary communication.

Abstract: Systems and techniques that facilitate quantum circuit valuation are provided. In various embodiments, a system can comprise an input component that can access a first quantum circuit. In various embodiments, the system can further comprise a valuation component that can appraise the first quantum circuit based on one or more factors (e.g., frequency factor, complexity factor, resource factor, similarity factor), thereby yielding a value score that characterizes the first quantum circuit. In various instances, the system can further comprise an execution component that can recommend deployment of the first quantum circuit based on determining that the value score exceeds a threshold.

Abstract: Interleaved conversation concept flow enhancement can include detecting a topic of an on-going conversation over an electronic communication system. In response to detecting a topic newly introduced into the on-going conversation, a topic-divergence metric (TDM) with respect to the original topic and the newly introduced topic can be determined. A topic-divergence response action can be initiated in response to the newly introduced topic diverging from the original topic by more than a predetermined threshold based on the TDM.

Abstract: A method, computer system, and a computer program product for recommending additional content to an author generating authored content is provided. The present invention may include monitoring a travel location associated with the author. The present invention may include calculating a multi-sensory region based on the travel location and a maximum sense distance value. The present invention may include selecting at least one piece of additional content from a corpus of additional content based on the multi-sensory region. The present invention may include generating a model based on the at least one piece of additional content. The present invention may include selecting a relevant piece of additional content from the data model based on determining a topic associated with the relevant piece of additional content matches an authored topic associated with the authored content. The present invention may include presenting the selected relevant piece of additional content to the author.

Abstract: The method, computer program product and computer system may include computing device which may collect application data from an application and archive the application data into a datastore. The computing device may generate a network graph based on the archived application data. The computing device may detect a new message, containing content on one or more topics, posted in the application by an author. The computing device may determine familiarity of an anticipated user with the content of the new message and associate the new message with a message history in the application based on the anticipated user. The computing device may generate a message content summary of the new message based on the message history and present message content summary to the anticipated user.

Abstract: A computer-implemented method, a computer system and a computer program product improve the quality of multimedia. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes altering an orientation of the display of the current frame in response to determining that the quality metric of the current frame is below a threshold.

Abstract: Systems and techniques that facilitate quantum circuit valuation are provided. In various embodiments, a system can comprise an input component that can access a first quantum circuit. In various embodiments, the system can further comprise a valuation component that can appraise the first quantum circuit based on one or more factors (e.g., frequency factor, complexity factor, resource factor, similarity factor), thereby yielding a value score that characterizes the first quantum circuit. In various instances, the system can further comprise an execution component that can recommend deployment of the first quantum circuit based on determining that the value score exceeds a threshold.

Abstract: To obtain meaningful computational results despite limits on the amount of data that can be input to a quantum computer, a data selection system uses an iterative approach to select a suitable subset of data to be input to a quantum device for processing by a quantum algorithm. The system compresses and clusters a data set according to a task-specific distribution criteria and selects a subset of this clustered data corresponding to representative cases of the data. The selected subset is processed by the quantum device and the system generates a metric score based on the degree to which the results satisfy a performance criterion. The selected subset is refined over multiple iterations based on successive metric scores until a termination criterion is reached, and the final selected subset of data is used as input to the quantum computer for execution of the processing task.

Abstract: A computer-implemented method, a computer system and a computer program product enhance user interaction with a virtual or augmented environment. The method includes obtaining a user profile. The user profile includes a constraint of a user. The method also includes identifying a plurality of objects in the augmented reality environment. In addition, the method includes determining an intent of the user with respect to navigating the augmented reality environment. The method further includes calculating a probability of interaction between the user and an identified object based on the intent. Lastly, the method includes generating an enhancement threshold for each of the identified objects based on the probability of interaction and the constraint of the user.

Abstract: A computer-implemented method, a computer system and a computer program product enhance user interaction with a virtual or augmented environment. The method includes obtaining a user profile. The user profile includes a constraint of a user. The method also includes identifying a plurality of objects in the augmented reality environment. In addition, the method includes determining an intent of the user with respect to navigating the augmented reality environment. The method further includes calculating a probability of interaction between the user and an identified object based on the intent. Lastly, the method includes generating an enhancement threshold for each of the identified objects based on the probability of interaction and the constraint of the user.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for diagnosing technical issues. The exemplary embodiments may include collecting data relating to one or more technical issues, extracting one or more features from the collected data, determining one or more diagnoses based on the extracted one or more features and one or more models, and suggesting to a support agent one or more actions based on the one or more determined diagnoses.

Abstract: A method for controlling a plurality of environmental factors that trigger a negative emotional state is provided. The method may include analyzing a plurality of user data when a user experiences a plurality of various environmental factors. The method may also include determining an emotional state experienced by the user when each of the plurality of various environmental factors is present based on the plurality of user data. The method may include receiving a plurality of calendar information associated with a user account. The method may also include identifying an upcoming event based on the plurality of calendar information. The method may include identifying an environmental factor within the plurality of various environmental factors is present at the upcoming event. The method may also include, in response to determining the environmental factor causes the user to experience a negative emotional state, executing an accommodation method based on the environmental factor.

Abstract: A computer system provides access to data during an outage. A plurality of data records are analyzed to identify entities whose data records indicate that a service is within an upcoming time period. A data resource is generated for each identified entity and the data resources for the identified entities are stored within a repository, wherein each data resource includes data obtained from a data record of a corresponding identified entity that is relevant to the service. The data resource of an identified entity is accessed with a corresponding recovery key during the outage and transform the data resource into one or more printable forms. The one or more printable forms are transmitted to one or more providers of the service. Embodiments of the present invention further include a method and program product for providing access to data during an outage in substantially the same manner described above.

Abstract: A method, a structure, and a computer system for location-driven social network boosting. The exemplary embodiments may include generating a network graph corresponding to a user of a social network and identifying a destined location of the user that differs from a current location of the user. The exemplary embodiments may further include identifying one or more gaps in the social network of the user at the destined location and augmenting the social network to fill the one or more gaps at the destined location.

Abstract: A computer-implemented method for evaluating team effectiveness and acting on one or more outliers based on the evaluated team effectiveness. The method retrieves electronic data of one or more users, wherein the electronic data comprises a plurality of electronic communications. The method further extracts one or more concepts and metadata from the retrieved electronic data. The method further determines one or more outliers based on the extracted one or more concepts and metadata, wherein the determined one or more outliers are based on one or more poorly connected concepts and one or more poorly connected users. The method further acts on the determined one or more outliers and displays a report based on the determined one or more outliers.

Abstract: A computer-implemented method, a computer system and a computer program product evaluate multimedia quality. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes modifying the current frame so that the quality metric is at or above the threshold in response to determining that the quality metric of the current frame is below a threshold.