Abstract: A computer-implemented method, computer program product, and computing system is provided for determining quality of experience for communication sessions. In an implementation, a method may include determining a plurality of intrusive quality of experience scores associated with a plurality of intrusive audio transmission samples. The method may also include determining a plurality of non-intrusive quality of experience scores associated with a plurality of non-intrusive audio transmission samples. The method may further include deriving a quality of experience coefficient based upon a relationship between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores.

Abstract: Embodiments for intelligent mitigation of concentration conflicts by a processor. A concentration level of a user required for one or more primary activities may be determined from one or more data sources. A distraction level indicating a possible impact to the concentration level caused by one or more secondary objects may be determined. One or more actions may be provided to mitigate the possible impact to the concentration level.

Abstract: Online outreach based reward model generation is described. A set of features that are indicative of an online outreach for a user are determined, the online outreach originating from a particular online network. Based on this set of features, an online outreach for the user originating from the particular online network is determined. A reward model is derived from the online outreach for the user. The reward model indicates locations within the particular online network that are to be searched for user information.

Abstract: A sentiment analysis of a chat session in which a plurality of chat messages are posted is performed. Based on the sentiment analysis, at least one emotive model is derived for the chat session. A sentiment of users in the chat session can be determined using the emotive model. A user composing a new chat message for the chat session can be monitored. Based on the monitoring, an impact on the sentiment of the users in the chat session by the new chat message can be determined. A client device can be initiated to display the impact on the sentiment of the users in the chat session by the new chat message before the new chat message is posted in the chat session.

Abstract: Providing cognitive responses with an electronic message system includes predicting an urgency level corresponding to an electronic message received by the system based on detecting pre-defined features within the message and assigning a classification to the message based on the detected features. The message and corresponding urgency level can be mapped to a response action based on the classification assigned to the message. A notification of the response action and corresponding urgency level can be generated.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: inputs of emotion time series data of a user and environmental factor data from one or more data collection device for a user assistance service. A baseline emotion time series is generated and an environmental factor that is likely to have affected changes in state of emotion on a subject is identified by regression analysis. An emotion time series model for the identified environmental factor is produced and prediction of a path to attain a target state of emotion at a certain time in the future is made. Recommendation to achieve the target state of emotion is produced based on the predicted path.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: inputs of emotion time series data of a user and environmental factor data from one or more data collection device for a user assistance service. A baseline emotion time series is generated and an environmental factor that is likely to have affected changes in state of emotion on a subject is identified by regression analysis. An emotion time series model for the identified environmental factor is produced and prediction of a path to attain a target state of emotion at a certain time in the future is made. Recommendation to achieve the target state of emotion is produced based on the predicted path.

Abstract: Electronic message text classification framework selection is described. An incoming electronic message is classified using a current text classification framework. A classification of the electronic message by the current text classification framework is scored. A cost of re-training the current text classification is compared against a cost of switching to a different text classification framework. One of multiple text classification frameworks, which includes the current text classification framework and other text classification frameworks, is selected based on the score of the classification by the current text classification framework and a result of the comparison.

Abstract: Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a system includes: a computer readable memory, and a computer readable storage medium located in a computer; program instructions to store a plurality of identifiers of a user in a database, wherein each of the identifiers has a different closeness factor of the user than other identifiers of a same type stored in the database; program instructions to determine a closeness factor of a contact to a user; program instructions to match the determined closeness factor of the contact with an identifier having the same closeness factor stored in an database; and program instructions to transmit the matched identifier from the database to the contact for display as an identifier of the user.

Abstract: Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a method includes determining, by a computer device, a closeness factor of a contact to a user, matching, by the computer, the determined closeness factor of the contact with an identifier having the same closeness factor stored in a database comprised of a plurality of different types of identifiers of the user, and transmitting the matched identifier from the database to the contact to display as an identifier of the user, wherein at least two of the plurality of identifiers in the database have different closeness factors from one another.

Abstract: A computer-implemented method, computer program product, and computing system is provided for determining quality of experience for communication sessions. In an implementation, a method may include determining a plurality of intrusive quality of experience scores associated with a plurality of intrusive audio transmission samples. The method may also include determining a plurality of non-intrusive quality of experience scores associated with a plurality of non-intrusive audio transmission samples. The method may further include deriving a quality of experience coefficient based upon a relationship between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores.

Abstract: Aspects include identifying an event associated with extraction and transmission of a dataset from a data center over a network to one or more network servers and identifying a plurality of tasks associated with a plurality of users and the event. A predicted availability time of the dataset is determined for the one or more network servers based on data extraction performance from a backend data storage system of the data center. Processing is clustered of a plurality of posting requests of two or more of the users through the one or more network servers to align with the predicted availability time of the dataset.

Abstract: Disclosed embodiments provide techniques for improved call quality during telephony sessions. The speech quality of an active voice session is periodically evaluated using multiple noise reduction algorithms. In an instance where the speech quality of the currently used noise reduction algorithm is below the quality of another noise reduction algorithm, the telephony system may switch to a new noise reduction algorithm as the currently used (active) noise reduction algorithm in order to improve call quality during an active voice session.

Abstract: Disclosed embodiments provide techniques for improved call quality during telephony sessions. The speech quality of an active voice session is periodically evaluated using multiple noise reduction algorithms. In an instance where the speech quality of the currently used noise reduction algorithm is below the quality of another noise reduction algorithm, the telephony system may switch to a new noise reduction algorithm as the currently used (active) noise reduction algorithm in order to improve call quality during an active voice session.

Abstract: A method and system for improving memory reorganization and storage technology is provided. The method includes configuring data capture settings of a database system resulting in configured data capture settings. Data objects associated with a user are retrieved and stored in a database. Overlapping data elements of the data objects are determined and associated collaboration data model software code is generated. A request for first data is received and mapped to the data objects. A clone data object associated with the first data object is generated with respect to the overlapping data elements.

Abstract: Risk assessment for a computing system being developed can include receiving a user input specifying a proposed topology for a computing system. The proposed topology is defined by a first software product to be used and an architecture having a first non-functional component. A problem knowledge repository is searched using a processor for records of problems correlated with the proposed topology. A level of risk in implementing the computing system using the proposed topology is calculated according to the searching using the processor.

Abstract: Risk assessment for a computing system being developed can include receiving a user input specifying a proposed topology for a computing system. The proposed topology is defined by a first software product to be used and an architecture having a first non-functional component. A problem knowledge repository is searched using a processor for records of problems correlated with the proposed topology. A level of risk in implementing the computing system using the proposed topology is calculated according to the searching using the processor.

Abstract: A system for dynamically adjusting content for an interaction impairment can include a data provider, an end-user electronic device, a user identification module, and a data adjustment module. The data provider can be capable of providing access to electronic data. One or more characteristics of the electronic data can be incompatible with an impairment of an impaired user. The end-user electronic device can be configured to allow the impaired user to interact with electronic data. The user identification module can be configured to identify an identity of the impaired user and/or the impairment of the impaired user. The data adjustment module can be configured to automatically adjust incompatible characteristics of the electronic data prior to presentation by the end-user electronic device. This adjustment can increase the ability of the impaired user to utilize the electronic data with the end-user electronic device.

Abstract: A method of filtering images of live stream content may include defining a prohibited frame content template; analyzing live stream content at a frame level to determine content within each frame of the live stream content; and comparing a frame of the live stream content against the prohibited frame content template to detect prohibited content in the frame that matches prohibited frame content as defined by the prohibited frame content template.

Abstract: Identification of content classes deemed important by users is received. Classifiers are trained on user communication text to recognize content matching content classes. A composite classifier is applied to text of communication among users of a second set of users, including tagging, by the composite classifier, content in text of communication among the users of the second set. The tagging is responsive to the classifiers recognizing their respective content classes in text of communication among the users of the second set.