Abstract: A method, system and computer-usable medium for utilizing personalized audio selection to facilitate achieving a target state comprising: identifying a target state for a user; identifying a set of audio selections for the user to achieve the target state; monitoring reactions by the user to the set of audio selections to determine an assessment; and responsive to determining when the assessment is below a desired level, adjusting the set of audio selections.

Abstract: A method, computer program product, and computer system for analyzing one or more existing book indexes to build a statistical model of term-to-text pairs. A document may be analyzed, wherein the document may include at least a portion of an instruction in a book. A term in the document may be identified. Whether the term is a candidate for an index of the book may be identified based upon, at least in part, the statistical model of term-to-text pairs.

Abstract: One or more processors receive one or more variations to one or more first instruction elements in a first instruction set that indicate one or more second instruction elements of a second instruction set. One or more processors determine whether the one or more first instruction elements exceed a threshold of variability. One or more processors determine whether the one or more first instruction elements and the one or more second instruction elements are substantially equivalent. One or more processors determine whether a first outcome of the first instruction set is substantially similar to a second outcome of the second instruction set.

Abstract: Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.

Abstract: Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.

Abstract: A computer-implemented method according to one embodiment includes identifying an entity within an image that includes one or more missing portions; determining a three-dimensional (3D) model for the entity; and filling in the one or more missing portions of the entity within the image, utilizing the 3D model.

Abstract: A computer-implemented method according to one embodiment includes identifying an entity within a selected plurality of video frames that includes one or more missing portions; determining a three-dimensional (3D) model for the entity; and filling in the one or more missing portions of the entity within the selected plurality of video frames, utilizing the 3D model.

Abstract: Aspects include real-time context based recipe recommendations including receiving, at a mobile device, an identifier of an available food item that is offered for purchase at a food marketplace. A request for recipes that specifies the identifier of the available food item and a list of identifiers of food items previously selected by the shopper for purchase is sent to a recipe application. At least one recipe selected by the recipe application is received at the mobile device and presented to the shopper. The recipe includes the available food item and at least a subset of the food times previously selected by the shopper. The identifier of the available food item is added to the list of food items previously selected by the shopper for purchase based on determining that the shopper has selected the available food item for purchase.

Abstract: A method includes activating a first object detector and a second object detector. The first object detector is operable to detect a first type of object in a set of image frames, and the second object detector is operable to detect a second type of object in the set of image frames. The method also includes activating a first set of attribute classifiers and a second set of attribute classifiers. The method also includes generating first statistics for the first object detector and second statistics for the second object detector. The method also includes modifying activation of at least the second set of attribute classifiers based on a comparison of the first statistics and the second statistics.

Abstract: A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of a smart contact lens. Executing the instructions causes the smart contact lens to measure dimensions of a user's eye to determine a focal length of the user, measure a magnetic field proximate to the user's eye to determine a direction of focus of the user, receive a control input from the user, determine a control signal corresponding to the focal length of the user, the direction of focus of the user, and the received control input, generate the determined control signal, and control a first electronic device by transmitting, by the smart contact lens, the generated control signal to the first electronic device.

Abstract: Embodiments provide dynamic consumer incentive generation by generating a combination discount offer that provides a total discount value to a customer in response to verifying that the customer executes a commercial activity at each of different (first and second) ones of a discount grouping plurality of businesses, in response to determining that it is probable as a function of historic purchasing data that the customer will purchase an item from the first business when they make a purchase from the second business; and allocating different portions of the total discount value as costs to the first and second businesses that have different values determined as a function of a difference between a first probability that the customer will purchase an item from the first business and a second probability that the customer will purchase an item from the second business.

Abstract: In an approach for user interface widget recommendation, a processor receives a plurality of widgets. A processor applies natural language processing to the plurality of widgets to determine features wherein the features include contexts and layouts associated with the plurality of widgets. A processor trains a widget classifier based on the determined features. The widget classifier predicts a widget type. A processor trains a component classifier based on the widget type associated with the determined features. The component classifier predicts a component type and a component element type.

Abstract: According to one embodiment, a method, computer system, and computer program product for generating an advertisement is provided. The present invention may include receiving domain corpora; identifying domain-specific terms within each domain comprising the received domain corpora; scoring the identified domain-specific terms based on each of the domains; generating candidate short phrases comprising at least one of the scored domain-specific terms based on the scoring of the scored domain-specific terms; scoring the candidate short phrases; and selecting candidate short phrases based on the scoring of the candidate short phrases.

Abstract: A computer program product for computer generation of digital content, said computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing resource to cause the processing resource to determine demographic designators associated with users of user devices that render interactive digital contents; group together similar input questions input into the interactive digital contents of the user devices; for each group of similar questions, create an answer to each group of similar questions; create a script from each answer; record each script and the corresponding group of similar input questions in a data repository; and insert a script from the data repository into a digital content template.

Abstract: In an approach for user interface widget recommendation, a processor receives a plurality of widgets. A processor applies natural language processing to the plurality of widgets to determine features wherein the features include contexts and layouts associated with the plurality of widgets. A processor trains a widget classifier based on the determined features. The widget classifier predicts a widget type. A processor trains a component classifier based on the widget type associated with the determined features. The component classifier predicts a component type and a component element type.

Abstract: A system and associated method may utilize a processor that receives recall product instance group (RPIG) information (RPIGI) identifying a set of instances of products having a product type identifier (PTI) that are a subject of a product recall. The processor receives, from an imaging device associated with a user, an image containing a product instance. The method further comprises applying a classifier and determining a PTI. Based on the image, secondary product information is also identified. These may be compared with the RPIGI to determine a product instance membership. Information related to the product instance membership in the RPIG may be displayed.

Abstract: Aspects include real-time context based recipe recommendations including receiving, at a mobile device, an identifier of an available food item that is offered for purchase at a food marketplace. A request for recipes that specifies the identifier of the available food item and a list of identifiers of food items previously selected by the shopper for purchase is sent to a recipe application. At least one recipe selected by the recipe application is received at the mobile device and presented to the shopper. The recipe includes the available food item and at least a subset of the food times previously selected by the shopper. The identifier of the available food item is added to the list of food items previously selected by the shopper for purchase based on determining that the shopper has selected the available food item for purchase.

Abstract: Systems, methods, and computer-readable media for constructing a conversation model using documentation of an application programming interface (API) are disclosed. The conversation model can be used to train a natural language classifier. API endpoints may be represented in the API documentation as (verb, resource, element) tuples. These tuples can be converted into intent and parameters of the API endpoints can be converted into entities. In addition, example utterances may be created for each intent. The conversation model can be generated using the intents, example utterances, and/or entities.

Abstract: A computer-implemented method includes receiving input questions through interactive digital content and determining demographic designators associated the questions. The method further includes grouping together similar input questions and, for each group of similar questions, creating an answer. Scripts are created from each answer and each script and the corresponding group of similar input questions is recorded into a data repository.

Abstract: Aspects of this disclosure relate to a system that uses images of a load handled by a crane as captured by cameras to monitor the load. The images may include different sets of outer perimeters of the load. The system may identify the outer perimeters and then define a safety zone that extends beyond these outer perimeters. In response to identifying an object within the safety zone, the system may execute a remedial action.