Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining communication data streams, extracting data relevant to a point of view of a user, and generating a point of view record in a knowledge base that may be utilized by another user communicating with the user.

Abstract: Aspects of the present invention provide an approach for cognitive computer assistance in student learning of an educational topic. In an embodiment, a student is provided a presentation of educational materials and monitored with at least one sensor while studying. A cognitive computer system determines level of student understanding of the topic and alters said presentation of educational materials based on said determining of said level of student understanding to cognitively assist in said student's learning.

Abstract: Systems and methods for allocating computing resources for a multi-tiered application are disclosed. A computer-implemented method includes: determining, by a computing device, a topology of a multi-tiered application; determining, by the computing device, a modeled setting of a computing resource for the multi-tiered application based on the determined topology; determining, by the computing device, an actual usage of the computing resource by the multi-tiered application; and adjusting, by the computing device, an allocation of the computing resource to the multi-tiered application based on the actual usage and the modeled setting.

Abstract: An approach is provided for synchronizing elements in files across a technical environment. In one embodiment, a processor obtains a first change to a first file. The processor also obtains data identifying a second file. The processor determines if the change is supported by a data library in a pre-defined list of data sources. The processor analyzes the data library to determine a type of the change. The processor applies the type of the change to the second file.

Abstract: Embodiments recognize and solve problems as a function of biometric and social network data, wherein processors are configured to determine that an e-commerce site user is currently experiencing a problem in association with a purchase of an item on the e-commerce site as a function of analyzing biometric data acquired from the user in association with the item purchase. The processors are further configured to correlate the first problem associated with the item purchase to an alternative problem that is associated with the item purchase as a function of social network data of the user; and to suggest the alternative problem to the user as another problem experienced by the user in association with the item purchase.

Abstract: A computer implemented method for generating contextual workflows includes receiving a plurality of images, analyzing the received plurality of images to identify one or more activities corresponding to the plurality of images and one or more contextual details corresponding to the plurality of images, wherein the contextual details indicate a capture location, a capture time, a capture sequence, or a capture subject for the plurality of images, calculating a confidence weighting for the one or more identified activities for the plurality of images, creating a contextual workflow according to the calculated confidence weightings, receiving a query for a workflow corresponding to an indicated context, and identifying one or more workflows that matches the indicated context.

Abstract: A computer-implemented method includes: displaying, by a computer device, video content on a display of the computer device; determining, by the computer device, a moving object in the video content; and controlling, by the computer device, a plurality of microbots to move, on the display, over locations of the object in the video content.

Abstract: A computer-implemented method includes: displaying, by a computer device, video content on a display of the computer device; determining, by the computer device, a moving object in the video content; and controlling, by the computer device, a plurality of microbots to move, on the display, over locations of the object in the video content.

Abstract: Embodiments recognize and solve problems as a function of biometric and social network data, wherein processors are configured to determine that an e-commerce site user is currently experiencing a problem in association with a purchase of an item on the e-commerce site as a function of analyzing biometric data acquired from the user in association with the item purchase. The processors are further configured to correlate the first problem associated with the item purchase to an alternative problem that is associated with the item purchase as a function of social network data of the user; and to suggest the alternative problem to the user as another problem experienced by the user in association with the item purchase.

Abstract: Aspects of the present invention provide an approach for cognitive computer assistance in student learning of an educational topic. In an embodiment, a student is provided a presentation of educational materials and monitored with at least one sensor while studying. A cognitive computer system determines level of student understanding of the topic and alters said presentation of educational materials based on said determining of said level of student understanding to cognitively assist in said student's learning.

Abstract: A computer-implemented method includes: displaying, by a computer device, video content on a display of the computer device; determining, by the computer device, a moving object in the video content; and controlling, by the computer device, a plurality of microbots to move, on the display, over locations of the object in the video content.

Abstract: Systems and methods for allocating computing resources for a multi-tiered application are disclosed. A computer-implemented method includes: determining, by a computing device, a topology of a multi-tiered application; determining, by the computing device, a modeled setting of a computing resource for the multi-tiered application based on the determined topology; determining, by the computing device, an actual usage of the computing resource by the multi-tiered application; and adjusting, by the computing device, an allocation of the computing resource to the multi-tiered application based on the actual usage and the modeled setting.

Abstract: A computer implemented method for generating contextual workflows includes receiving a plurality of images, analyzing the received plurality of images to identify one or more activities corresponding to the plurality of images and one or more contextual details corresponding to the plurality of images, wherein the contextual details indicate a capture location, a capture time, a capture sequence, or a capture subject for the plurality of images, calculating a confidence weighting for the one or more identified activities for the plurality of images, creating a contextual workflow according to the calculated confidence weightings, receiving a query for a workflow corresponding to an indicated context, and identifying one or more workflows that matches the indicated context.

Abstract: A future activity of a user is identified based on a calendar of the user. A current activity of the user is determined. An interest level of the user for the current activity is determined. A duration of the current activity is estimated. A determination is made that a scheduling conflict exists between the future activity of the user and the current activity of the user. The determination is based on the schedule of the user, the interest level of the user, and the duration of the current activity. A first notification is sent to the user.

Abstract: Systems and methods for allocating computing resources for a multi-tiered application are disclosed. A computer-implemented method includes: determining, by a computing device, a topology of a multi-tiered application; determining, by the computing device, a modeled setting of a computing resource for the multi-tiered application based on the determined topology; determining, by the computing device, an actual usage of the computing resource by the multi-tiered application; and adjusting, by the computing device, an allocation of the computing resource to the multi-tiered application based on the actual usage and the modeled setting.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining communication data streams, extracting data relevant to a point of view of a user, and generating a point of view record in a knowledge base that may be utilized by another user communicating with the user.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining communication data streams, extracting data relevant to a point of view of a user, and generating a point of view record in a knowledge base that may be utilized by another user communicating with the user.

Abstract: A future activity of a user is identified based on a calendar of the user. A current activity of the user is determined. An interest level of the user for the current activity is determined. A duration of the current activity is estimated. A determination is made that a scheduling conflict exists between the future activity of the user and the current activity of the user. The determination is based on the schedule of the user, the interest level of the user, and the duration of the current activity. A first notification is sent to the user.

Abstract: A computer implemented method for generating contextual workflows includes receiving a plurality of images, analyzing the received plurality of images to identify one or more activities corresponding to the plurality of images and one or more contextual details corresponding to the plurality of images, wherein the contextual details indicate a capture location, a capture time, a capture sequence, or a capture subject for the plurality of images, calculating a confidence weighting for the one or more identified activities for the plurality of images, creating a contextual workflow according to the calculated confidence weightings, receiving a query for a workflow corresponding to an indicated context, and identifying one or more workflows that matches the indicated context.

Abstract: A future activity of a user is identified based on a calendar of the user. A current activity of the user is determined. An interest level of the user for the current activity is determined. A duration of the current activity is estimated. A determination is made that a scheduling conflict exists between the future activity of the user and the current activity of the user. The determination is based on the schedule of the user, the interest level of the user, and the duration of the current activity. A first notification is sent to the user.