Abstract: An approach is provided for generating a response by a cognitive entity. A question input by a user to the cognitive entity is received. A context of the user is determined. Based on the context of the user, an amount of detail for the response to the question is selected from different amounts of detail. The response is generated and presented to the user so that the response has the selected amount of detail.

Abstract: A security control system for a kinematic robot uses a cognitive assessment agent to map proposed instructions to either legitimate or illegitimate actions based on contextual variables. The agent computes a security anomaly index score representing a variance of a likely kinematic action of the robot compared to acceptable actions. If the score exceeds a predetermined threshold, a security alert is generated for the robot's administrator. The contextual variables include a user profile, a user location, and subject matter of the kinematic actions. The analysis compares input text to predefined classification metadata, and can also compare verbal phrases or body gestures to corresponding baselines. Different numeric weights can be applied to the contextual variables. The computing begins with a default value for the score and thereafter increments or decrements the score based on the weights. The weights can be adjusted based on a supervisory appraisal of the computed score.

Abstract: Embodiments for managing a wireless communication network by one or more processors are described. The presence of a plurality of mobile electronic devices within a wireless communication network is detected. A device-to-device (D2D) connectability score for each of the plurality of mobile electronic devices is calculated. The calculating of the D2D connectability score for each of the plurality of mobile electronic devices is based on a security posture of the respective mobile electronic device, a privacy posture of the respective mobile electronic device, or a combination thereof. A signal representative of the calculated D2D connectability score for each of the plurality of mobile electronic devices is generated.

Abstract: A security control system for a kinematic robot uses a cognitive assessment agent to map proposed instructions to either legitimate or illegitimate actions based on contextual variables. The agent computes a security anomaly index score representing a variance of a likely kinematic action of the robot compared to acceptable actions. If the score exceeds a predetermined threshold, a security alert is generated for the robot's administrator. The contextual variables include a user profile, a user location, and subject matter of the kinematic actions. The analysis compares input text to predefined classification metadata, and can also compare verbal phrases or body gestures to corresponding baselines. Different numeric weights can be applied to the contextual variables. The computing begins with a default value for the score and thereafter increments or decrements the score based on the weights. The weights can be adjusted based on a supervisory appraisal of the computed score.

Abstract: Approaches presented herein enable optimizing resource allocation to a bid request response based on a cognitive analysis of natural language artifacts. More specifically, a bid request and a plurality of supporting artifacts in a natural language are obtained. A cognitive analysis of the request and supporting artifacts is performed to extract a set of information entities. The extracted information entities are normalized using a lexical-relations based graph database to classify the set of extracted information entities as standardized concepts. A subset of the set of the standardized concepts is identified as a set of parameters corresponding to a set of predetermined variables. Each variable of the set of predetermined variables is weighted according to a likelihood that the variable indicates a relevance of a resource. A probability that a particular resource is relevant is determined based on the weighting and that resource is assigned to the bid request response.

Abstract: Approaches presented herein enable automatically fulfilling an obligation under a smart contract. A block is added to a blockchain ledger in response to an event that triggers the obligation. The block includes data related to the event. Inferences related to the event are derived based on an analysis of event data and historical data incorporated in prior blocks in the blockchain ledger. Based on the inferences, a potential cause of the event is derived. Based on the potential cause, an interested stakeholder to the fulfilling of the obligation is identified. The interested stakeholder is added to a group that is allowed access to the blockchain ledger corresponding to the smart contract.

Abstract: One embodiment for determining a marketing incentive for a user of an electronic device. In one embodiment, a computer processor detects a first electronic device within a retail environment utilizing a second electronic device that also identifies information associated with the first electronic device. In one embodiment, a computer processor determines a behavior associated with the first electronic device based, at least in part, on movement of the first electronic device within the retail environment. In one embodiment, a computer processor identifies data associated with the retail environment that includes information associated with a retailer associated with the retail environment and information associated with the first electronic device. In one embodiment, a computer processor determines a first marketing incentive based, at least in part, on the determined behavior associated with the first electronic device and the identified data associated with the retail environment.

Abstract: The method includes receiving, by one or more computer processors, a request for data usage, the request for data usage being associated with a mobile device. The method further includes identifying, by one or more computer processors, a current data usage quantity, the current data usage quantity being associated with the mobile device. The method further includes determining, by one or more computer processors, whether the current data usage quantity is beyond a threshold data usage. The method further includes responsive to the data usage quantity being beyond the threshold data usage, receiving, by one or more computer processors, mobile device information associated with the mobile device. The method further includes analyzing, by one or more computer processors, the mobile device information. The method further includes determining, by one or more computer processors, access for the request based on the mobile device information and the current data usage quantity.

Abstract: An approach is provided that uses an availability of a computer resource to tailor an assistance with a task. An adaptive cognitive agent obtains a task assignment. The adaptive cognitive agent obtains an availability of a computer resource available to the adaptive cognitive agent. The availability of the computer resource is used to tailor an assistance with the task, resulting in an assistance plan being stored in a memory.

Abstract: Aspects cognitively displaying media wherein processors are configured to determine an age of a media item as a function of a publication date of the media item, determine a validity value of the media item as a function of content of the media item and the determined age, and display the media item to a viewer in an appearance format that is selected to convey the determined validity value of the content of the media item to the viewer in a manner that is appropriate to the determined age of the media item.

Abstract: A cognitive proximate recommendation method, system, and non-transitory computer readable medium, include identifying a requested item based on a user request, first extracting a requested feature and a requested value of the requested feature for the requested item, and returning a return item from a plurality of return items stored in the database by: second extracting a return feature corresponding to the requested feature for each of the plurality of return items, third extracting a return value of the return feature, and calculating a proximal distance between the return value for each of the plurality of return items and the requested value of the requested item.

Abstract: An approach includes a system implemented in a computer infrastructure including a processor. The approach further includes the processor configured to receive dimensionally aware linkages. The approach further includes the processor configured to retrieve aggregated data from a data set. The approach further includes the processor configured to identify at least one affinity cluster related to the dimensionally aware linkages in at least two dimensions and the retrieved aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data. The approach further includes the processor configured to provide personalized content to a user having same or similar user preferences as the received dimensionally aware linkages based on the identified at least one affinity cluster.

Abstract: A dynamic digital shelf system includes an interface for identification of a customer: a digital shelf manager in communication with the interface to: retrieve a store's products and services available according to the store's inventory; retrieve an enriched customer profile of a customer's interests wherein the enriched customer profile is enhanced by big data; retrieve a product to product metadata map; develop a customer insights profile to weight the customer's interests with respect to the store's products and services according to the store's criteria in the product to product metadata map; identify the store's products and services matching the enriched customer profile for products and services using the customer insights profile; and output the identified store's products and services. Included is a display in communication with the digital shelf manager to display the identified products and services output from the digital shelf manager which are personalized to the customer.

Abstract: Embodiments for managing a wireless communication network by one or more processors are described. The presence of a plurality of mobile electronic devices within a wireless communication network is detected. A device-to-device (D2D) connectability score for each of the plurality of mobile electronic devices is calculated. A signal representative of the calculated D2D connectability score for each of the plurality of mobile electronic devices is generated.

Abstract: Embodiments for utilizing a human compound eye using internet of things (“HCEI”) for obstacle protection of a user by a processor. One or more objects may be determined within an obstacle threshold distance in relation to a user according to data captured from one or more internet of things (IoT) devices associated with a wound dressing, a mobility assistance device, or a combination thereof. The user may be alerted of the one or more objects within the obstacle threshold distance.

Abstract: The method include receiving, by one or more computer processors, a request for data usage, the request for data usage being associated with a mobile device. The method further includes identifying, by one or more computer processors, a current data usage quantity, the current data usage quantity being associated with the mobile device. The method further includes determining, by one or more computer processors, whether the current data usage quantity is beyond a threshold data usage. The method further includes responsive to the data usage quantity being beyond the threshold data usage, receiving, by one or more computer processors, mobile device information associated with the mobile device. The method further includes analyzing, by one or more computer processors, the mobile device information. The method further includes determining, by one or more computer processors, access for the request based on the mobile device information and the current data usage quantity.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: attaching a user equipment to a communication network via Evolved Nodes B respectively controlling radio cells of the communication network. A new communication channel for the user equipment is assigned based on usage characteristics of the user equipment.

Abstract: A method, a system, and a computer program product are provided for reducing message passing for contention detection in distributed SIP server environments. The method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions operable to determine that a first site is waiting for a first object locked by a second site. The programming instructions are further operable to determine that a third site is waiting for a second object locked by the first site, and to send a first probe to the second site to determine whether the second site is waiting. A second probe is received and indicates that a site is waiting for an object locked by the first site. The second probe further indicates a deadlock in a distributed server environment to be resolved.

Abstract: An approach includes a system implemented in a computer infrastructure including a processor. The approach further includes the processor configured to receive dimensionally aware linkages. The approach further includes the processor configured to retrieve aggregated data from a data set. The approach further includes the processor configured to identify at least one affinity cluster related to the dimensionally aware linkages in at least two dimensions and the retrieved aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data. The approach further includes the processor configured to provide personalized content to a user having same or similar user preferences as the received dimensionally aware linkages based on the identified at least one affinity cluster.

Abstract: A method of migrating a container includes: monitoring, by a processor, a plurality of applications executing on a system to generate monitored data, where each application includes at least one container; building, by the processor, a behavior model using the monitored data; selecting, by the processor, a destination data-center among a plurality of available data-centers and one of the containers to migrate to the selected data-center based on data of the behavior model; and migrating, by the processor, the selected container from a source data-center among the available data-centers to the destination data-center.