Abstract: Predicting and notifying availability status of a user may include determining, using a processor, an availability status of a user according to historical data for the user and automatically updating the availability status of the user using the processor.

Abstract: Content of an electronic message can be presented to a recipient of the electronic messaging. At least one visible user gesture made by the recipient while reviewing the content can be identified using an image capture device. Based on the visible user gesture(s), at least one sentiment of the recipient while reviewing the content can be determined. At least one response indicator can be selected to represent the sentiment(s) of the recipient while reviewing the content. Each response indicator can include a predefined graphic. The response indicator(s) can be inserted into electronic message.

Abstract: In an approach, a computer determines based, at least in part, on a video of an attendee of a video conference, a first sentiment of the attendee wherein the first sentiment includes at least a sentiment from a sentiment analysis of one or more facial expressions of the attendee and a sentiment from a sentiment analysis of a plurality of the attendee's spoken words. The approach includes a computer receiving an indication of an attendee activity in at least a first application in computing devices accessed by the attendee and determining whether the first sentiment of the attendee is related to the video conference based, in part, on the attendee activity in at least the first application. Responsive to determining that the first sentiment of the attendee is not related to the video conference, the computer discards the first sentiment that is unrelated to the video conference.

Abstract: A method, computer system, and computer program product for viewing preferences identification are provided. The embodiment may include receiving, by a processor, a plurality of data related to a user profile. The embodiment may also include collecting user interaction information from a streaming content service. The embodiment may further include analyzing the user habits and patterns based on the collected user interaction information. The embodiment may also include comparing the habits and patterns with the received user profile. The embodiment may further include prompting a user to confirm an identity associated with the user profile when there is a match between the user profile and the habits and patterns.

Abstract: A computing device determines that a user submits a query. The computing device tracks proximate web activities to the query by the user, determines a topic of the query, and determines a navigation path of the user from the proximate web activities. The computing device calculates a semantic score for the navigation path and associates the semantic score with the user, the topic, and the navigation path. The computing device calculates a threshold score for the topic using a sampling of semantic scores associated with matching topics in an expertise dataset and determines whether the semantic score meets the threshold score. When the semantic score does not meet the threshold score, the computing device performs one or more predetermined actions. An efficient manner of automatically discovering navigation paths used by experts in specific topics is provided, thus requiring less computing time and resources.

Abstract: An example operation may include one or more of identifying one or more attributes of a blockchain, determining the blockchain should be closed based on the one or more attributes, closing the blockchain, creating a new blockchain, identifying one or more assets from the blockchain, and creating a carry-over transaction based on the one or more assets of the blockchain.

Abstract: Embodiments for implementing intelligent user identification by a processor. A temporary abstraction model may be created. One or more user specific verification queries may be generated according to the temporary abstraction model. A user identify may be asserted for accessing an application upon validating one or more user responses in relation to the one or more user specific verification queries.

Abstract: Unstructured message escalation may include, responsive to detecting an unanswered message from a sending mobile device of a sender to a receiving mobile device of a recipient, determining a sender-recipient relationship and a last known location of the receiving mobile device, determining a first contact of the recipient from a contact data storage device according to the sender-recipient relationship, a relationship between the recipient and the first contact, proximity, and an escalation plan for the recipient, and sending a first escalation message to the first contact. Responsive to determining that the message is unanswered subsequent to sending the first escalation message, selecting a second contact of the recipient according to the sender-recipient relationship, a relationship between the second contact and the recipient, proximity, and the escalation plan and sending a second escalation message to the second contact.

Abstract: In an approach to narrating an email message based on the significance of the recipients on the message, identifying an email message; identifying recipients of the email message; identifying a client recipient from the recipients; selecting a first recipient from the recipients; identifying messages in an email repository; determining, from among the identified messages, a first count of messages; identifying an important recipient threshold, wherein the important recipient threshold represents a threshold count of messages; in response to determining the first count of messages exceeds the important recipient threshold, assigning a high importance recipient rating to the first recipient; creating a narration script; and in response to identifying the first recipient as having the high importance recipient rating, populating the narration script with a name of the first recipient such that the name of the first recipient will be read when the narration script is recited.

Abstract: A computer-implemented method includes: determining, by a computer device, contextual data of plural calls to a callee; generating, by the computer device, a predictive model based on the contextual data of the plural calls; determining, by the computer device, contextual data of a current call to the callee; determining, by the computer device and based on the model and the contextual data of the current call, a probability that the callee will answer the current call; determining, by the computer device and based on the model and the contextual data of the current call, an amount of time to ring for the current call; instructing, by the computer device, a caller device to display the determined probability; and instructing, by the computer device, a callee device to control an amount of rings for the current call based on the determined amount of time to ring.

Abstract: Embodiments for analyzing viewer engagement of online content by one or more processors are described. For each of a plurality of online channels having a piece of content posted thereon, viewer engagement associated with the piece of content and information associated with the posting of the piece of content on the respective online channel is received. The viewer engagement from each of the plurality of online channels is compared to the viewer engagement from the others of the plurality of the online channels. Based on the comparing of the viewer engagement and the information associated with the posting of the piece of content, a correlation between the viewer engagement from each of the plurality of online channels and the information associated with the posting of the piece of content on each of the plurality of online channels is determined. A signal representative of the determined correlation is generated.

Abstract: Electronic communications of team members of a team are monitored over time. Individual repeating patterns of interactions between team members and associated repeating subject matter topics of the interactions are identified. The identified individual repeating patterns and the associated repeating subject matter topics of the interactions are aggregated into a set of group interaction patterns of the team. Routine availability of a team member for additional interactions is determined in accordance with the set of group interaction patterns of the team.

Abstract: A method, computer system, and a computer program product for automated smart watch assistance is provided. The present invention may include detecting a distress signal from a sensor of a distressed user device. The present invention may then include broadcasting a cardiopulmonary resuscitation (CPR) request based on detecting the distress signal from the sensor of the distressed user device. The present invention may then include receiving a response to the broadcasted CPR request based on an altered direction of travel of a responding user device. The present invention may finally include establishing a connection between the distressed user device and the responding user device.

Abstract: Content of an electronic message can be presented to a recipient of the electronic messaging. At least one visible user gesture made by the recipient while reviewing the content can be identified using an image capture device. Based on the visible user gesture(s), at least one sentiment of the recipient while reviewing the content can be determined. At least one response indicator can be selected to represent the sentiment(s) of the recipient while reviewing the content. Each response indicator can include a predefined graphic. The response indicator(s) can be inserted into electronic message.

Abstract: Embodiments for managing content by one or more processors are described. A content portion associated with a user is detected. A storage scheme for the content portion is selected based on at least one data source associated with utilization of previous content portions by the user. The content portion is caused to be stored on a computing device according to the selected storage scheme.

Abstract: A computer-implemented method includes: determining, by a computer device, contextual data of plural calls to a callee; generating, by the computer device, a predictive model based on the contextual data of the plural calls; determining, by the computer device, contextual data of a current call to the callee; determining, by the computer device and based on the model and the contextual data of the current call, a probability that the callee will answer the current call; determining, by the computer device and based on the model and the contextual data of the current call, an amount of time to ring for the current call; instructing, by the computer device, a caller device to display the determined probability; and instructing, by the computer device, a callee device to control an amount of rings for the current call based on the determined amount of time to ring.

Abstract: A computer-implemented method includes: monitoring, by a computing device, information regarding a user's real-world environment; detecting, by the computing device and based on the monitoring, when the user's real-world environment includes patterns that are correlated with a study topic; and providing, by the computing device, information regarding the study topic for display in a user device based on the detecting.

Abstract: Embodiments of the present invention provide a method, system and computer program product for cognitive user identification recommendation. In an embodiment of the invention, a method for cognitive user identification recommendation includes monitoring typing patterns of an end user as the end user enters data in different fields of different applications of a computing device having a device type and categorizing each of the fields and applications according to field type and application type. The method further includes generating a data structure mapping the user typing patterns to each type of field and application to model user input behavior of the end user. The method also includes transmitting the data structure to a requesting application for prompting the end user to provide a particular type of password mapped to the modeled user input and consistent with a field type of the password and a type of requesting application.

Abstract: In an approach to narrating an email message based on the significance of the recipients on the message, identifying an email message; identifying recipients of the email message; identifying a client recipient from the recipients; selecting a first recipient from the recipients; identifying messages in an email repository; determining, from among the identified messages, a first count of messages; identifying an important recipient threshold, wherein the important recipient threshold represents a threshold count of messages; in response to determining the first count of messages exceeds the important recipient threshold, assigning a high importance recipient rating to the first recipient; creating a narration script; and in response to identifying the first recipient as having the high importance recipient rating, populating the narration script with a name of the first recipient such that the name of the first recipient will be read when the narration script is recited.

Abstract: A method, a system and a computer program product are provided. A posture of an individual is measured while the individual is using an application. The measuring a posture includes making multiple measurements. An amount of time that the individual is using the application is measured. The multiple measurements and the measured amount of time are analyzed to derive a posture quotient. At least one action is performed by a computing device based on the derived posture quotient. The at least one action includes adjusting execution of the application to enable correction of the posture.