Abstract: A subsequence of machines used and a cost of providing a subservice in response to a service request with a key is determined. A second cost of using the subsequence of machines to provide the subservice in response to a different service request with a different key is determined. A distance between the cost and the second cost is computed. A value pair is formed using the distance and a number of logged occurrences of the subsequence with the key. The processing of the service request for the key is identified as a suspect for costing an improper computing cost of the service, when an aggregate distance in the value pair fails to exceed a threshold distance.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: identifying a target customer population of a series product and dividing into segments by customer behaviors relevant to adoption of and compliance to a series of purchases of the series product. A marketing campaign strategy for each segment is devised and executed, and adoption rate and compliance rate is predicted by analytical modeling and later evaluated by actual sales data. Parameters used in predicting the adoption rate and the compliance rate are adjusted for accuracy.

Abstract: In an approach for predictive forecasting of food allocation, a first data is received from one or more sensors. The amount and condition of available food is determined from the first data. The number and location of people is determined from the first data. The received data is modified to create a second data. One or more food requirements for the people are predicted based on the number and location of people and the second data. An optimal food allocation for the people is predicted based on the amount and condition of food available and the one or more food requirements. The optimal food allocation is reported.

Abstract: A method and system for improving linguistic data and storage technology is provided. The method includes receiving data input text from a user and identifying text within the data input text. The data input text is edited and improvements in the data input text are detected via a machine learning process. In response, a modified version of the user interface is generated for allowing additional users to view and modify additional data input text. Change attributes associated with the data input text with respect to the modified version of the user interface are determined and alternative input suggestions are ranked. Editing data and code are generated in response to an editor engine interacting with a hardware controller. The editing data and code is executed thereby updating and modifying functions associated with software engines to increase an efficiency of future recommendations associated with future data input text analysis.

Abstract: A method and system for improving document lifecycle editing and storage technology is provided. The method includes enabling interactions between a user and a hardware controller. Editor profiles associated with editing privileges of the user are generated. The editor profiles include parameters generated based on a performance of past edits. The editing tasks are automated task difficulty attributes associated with a difficulty of executing the editing tasks are generated. The editing tasks may include readability and consolidation tasks. An optimized version of the editing tasks is assigned to software editors and time periods associated with the software editors completing the editing tasks are tracked. The optimized version of the editing tasks is generated based on the editor profiles and new tasks for assignment. User permissions and alerts are monitored and recommendation actions associated with the editing tasks are generated. The editing tasks are modified for future execution.

Abstract: Objects are located. Locations of objects in an area are tracked using a sensor system monitoring the area. Whether a user is performing an object search in the area is determined based on a sequence of actions detected by the sensor system for the user in the area. An identity of an object that is a subject of the object search by the user is inferred using the sequence of actions and a history of patterns of actions performed by the user searching for objects in response to a determination that the user is performing the object search. The user is guided to the object using a last tracked location for the object in the locations of objects tracked by the sensor system in response to inferring identify of the object that is the subject of the object search by the user.

Abstract: Aspects automatically minimize marketing rates as a function of optimized response rate models. Response rates are estimated from marketing offers targeted from a first entity to topic-entity pairs at respective specified marketing rates as a function of relative differences in their consumer sentiment scores. Marketing offers are targeted to a subset of the topic-entity pairs that each have estimated response rates meeting a threshold response rate constraint. Respective costs and actual rates of response from consumers are determined for the targeted offers. Response rates are modeled to determine modeled response parameters for the topics and entities of the subset topic-entity pairs as regressions of minimized differences in value between estimated and actual response rates. Marketing rates of the subset entity-topic pairs are minimized to meet the threshold response rate constraint and a marketing cost constraint as a function of the modeled response parameters.

Abstract: The methods include, for instance: building model connections between models in a knowledgebase, which stores case data as model networks. An exploration probability stored in the knowledgebase indicates a likelihood of new connections based on a case data input to be employed for an analytical model of the case data input, which includes numerous stages and multiple model choices in each stage. Based on the new connections and model networks of the knowledgebase, paths are created and performance of respective paths/connections are evaluated. A predefined number of top performing paths are selected and the models and attributes that do not appear in the top performing paths are eliminated from the knowledgebase. Probabilities of model networks and a future case data input are updated accordingly and a best-fit model for the case data input is presented to a user.

Abstract: Bias identification in social network posts. A method performs a semantic comparison of social network posts by a user of a social network to identify a group of social network posts by the user about a specific topical content category. The method determines a respective semantic sense of each social network post of the group. The method also ascertains a semantic sense pattern among social network posts in the group of social network posts about the specific topical content category. The method identifies a bias in at least one social network post of the group of social network posts based on identifying that the respective semantic sense in each of the at least one social network post deviates from the ascertained sematic sense pattern. The method uses the identified bias to predict bias in one or more other social network posts made by the user on the topical content category.

Abstract: A method for improving mobile sensor based monitoring is provided. The method includes continuously receiving in real time via sensors integrated within a wearable device of a user, vital sign data and movement based data associated with the user. Additionally, environmental data is continuously received via sensors located within a geographical area of the user. The vital sign data, movement based data, environmental data, and medical data are analyzed and current and future mental and physical conditions for the user are predicted. Recommended actions associated with modifying the current and future mental and physical conditions for the user are generated and presented. Current physical conditions for the user are monitored to determine if the recommended actions have been executed.

Abstract: A method, apparatus, system, and computer program product for estimating a mass of a prepared food product. An ultrasonic beam is steered by a computer system at the prepared food product on a platform. An estimate of a mass of the prepared food product on the platform is determined by the computer system using response signals detected in response to scanning the prepared food product on the platform with the ultrasonic beam.

Abstract: A computer-implemented method comprises: monitoring, by a user device, user gesture and user input activity by a user of the user device; detecting, by the user device, that the user has entered a thinking state based on the monitoring; determining, by the user device, subject content based on content displayed on a display of the user device based on the detecting; determining, by the user device, relevant content associated with the subject content; and presenting, by the user device, the relevant content to the user via the display.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a product video representing a product and review feeds authored by a user. Product features are extracted from the product video and user specific features are extracted from the review feeds. User specific add-on content is generated based on the user specific features and user data. The user specific add-on contents are overlaid onto the product video when the product feature corresponding to a user specific feature of the user specific add-on content.

Abstract: Using a set of characteristics of a posted image, data from a social media platform is searched for a set of related images, a related image having at least a subset of the set of characteristics. For a related image in the set of related images, information corresponding to the related image is processed to extract an additional information that is usable with the posted image. An image-specific knowledgebase associating with the posted image, the knowledgebase including the additional information. In response to a query relative to the posted image, an answer is computed according to a classification of the query using the knowledgebase.

Abstract: A method and system for identifying workplace risk factors is provided. The method includes monitoring via execution of multiple geographically distributed sensor devices, workplace injury based events associated with individuals at a multisite distributed workplace environment. Current injury data describing the workplace injury based events is stored and predicted future workplace injury based events associated with future workplace injury based events with respect to a predicted plurality of individuals at the multisite distributed workplace environment are determined. Injury risk mitigating actions associated with prevention of said predicted future workplace injury based events are generated and an associated cost optimized reduction plan for prioritized implementation of the injury risk mitigating actions is generated.

Abstract: Bias identification in social network posts. A method performs a semantic comparison of social network posts by a user of a social network to identify a group of social network posts by the user about a specific topical content category. The method determines a respective semantic sense of each social network post of the group. The method also ascertains a semantic sense pattern among social network posts in the group of social network posts about the specific topical content category. The method identifies a bias in at least one social network post of the group of social network posts based on identifying that the respective semantic sense in each of the at least one social network post deviates from the ascertained sematic sense pattern. The method uses the identified bias to predict bias in one or more other social network posts made by the user on the topical content category.

Abstract: A method and system for identifying workplace risk factors is provided. The method includes monitoring via execution of multiple geographically distributed sensor devices, workplace injury based events associated with individuals at a multisite distributed workplace environment. Current injury data describing the workplace injury based events is stored and predicted future workplace injury based events associated with future workplace injury based events with respect to a predicted plurality of individuals at the multisite distributed workplace environment are determined. Injury risk mitigating actions associated with prevention of said predicted future workplace injury based events are generated and an associated cost optimized reduction plan for prioritized implementation of the injury risk mitigating actions is generated.

Abstract: Methods, systems, and computer program products are provided for remediating an instance of a visual notification interfering with an output of an application on a display device of an electronic device. An instance of a visual notification is identified on a display device. The visual notification is determined to be interfering with the output of the application on the display device. User response to the output of the application is monitored. An assessment is made, based on the monitoring, of an effectiveness of the output of the application. It is determined, based on the assessment, that there exists a failure of the effectiveness of the output of the application. A remediation action is performed in response to the determined failure. The remediation action may include removal of the instance of the visual notification, terminating a parent process of the instance of the visual notification, or restarting the electronic device.

Abstract: A method, computer program product and a computer system for forecasting resource usage is provided. A processor determines a job forecast. The processor determines a probability of a future usage for a first resource, wherein the first resource is currently assigned to a first job. The processor determines an assignment of a second resource to a forecasted job of the plurality of jobs, wherein the second resource is available for assignment to the forecasted job. The processor determines a probable utilization of the second resource, wherein the probable utilization of the second resource indicates the probability that the second resource will be deployed during assignment to the forecasted job. A processor, in response to the probable utilization of the second resource being below a predetermined value, generates a report including the assignment state of the second resource and probable utilization of the second resource by the forecasted job.

Abstract: A method, computer program product, and system includes a processor(s) monitoring, via an image capture device communicatively coupled to the one or more processors, visual focus of a user to identify a focal point of a user on an area of an image of at least one object displayed in a graphical user interface communicatively coupled to the one or more processors. The processor(s) derives shape geometry of the object, creating a three-dimensional model. The processor(s) obtains, via the image capture device, a physical gesture by the user. The processor(s) performs a contextual analysis of the physical gesture to determine an application of the physical gesture to a portion of the object depicted in the area of the image. The processor(s) formulates search criteria, based on determining the application and the area. The processor(s) execute a search based on the search criteria and display by a search result.