Abstract: A method includes receiving, by a first device of a transportation provider, a device ID of a particular device of a user and purchase information regarding a purchase, by the user, of one or more goods or services. The method includes sending, by the first device, the device ID of the particular user device to a central server. The method includes receiving, by the first device from the central server, information regarding the particular user device. The method includes determining, by the first device, a selected transportation vehicle based on the purchase information and the information regarding the particular user device. The method includes sending, by the first device, a vehicle ID of the selected transportation vehicle to the central server. The method includes providing a transportation service to the user using the particular user device and the selected transportation vehicle.

Abstract: Provided are a computer program product, system, and method for generating a plurality of document plans to generate questions from source text. The declarative source text is processed to generate a plurality of document plan data structures. To generate each document plan data structure, at least a portion of the declarative source text is included in the document plan data structure. A determination is made of at least one relation of arguments in the declarative source text. The determined at least one relation and the arguments are indicated in the document plan data structure. Entity types of the arguments are determined and indicated in the document plan data structure. A natural language generation module processes each of the document plan data structures to generate a plurality of questions, which are stored with the declarative source text.

Abstract: A new document is processed for ingestion into a corpus of a cognitive computing system by associating with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the new document and those already in the corpus. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.

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: Mechanisms for training a Question and Answer (QA) system are provided. The QA system receives a training question for processing by the QA system and processes the training question to generate an answer to the training question, from a portion of content. The QA system identifies a repeatable pattern of content present in the portion of content in association with the answer to the training question. The QA system applies the repeatable pattern of content to other portions of content to generate at least one additional training question and at least one additional entry in a ground truth data structure to thereby expand a set of training questions and expand the ground truth data structure. The QA system is then trained using the expanded set of training questions and expanded ground truth data structure.

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: A method, system and computer-usable medium for augmenting the training of a conversational system. In certain embodiments, the method comprises: ingesting a training set to be used in training of the conversational system, the training set including objects for use in the training, wherein the objects include one or more object types, wherein the object types include one or more of an entity or intent; generating proposed reductions for inclusion in an augmented training set, wherein the proposed reductions include one or more of: reduction candidates generated using properties of objects included in the training set; reduction candidates obtained from search queries of one or more external resources, wherein the search queries relate to one or more objects included in the training set; filtering the proposed reductions to generate a reduced set of proposed reductions; and augmenting the training set with the reduced set of proposed reductions.

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: Embodiments generally relate a nutrition graph. In some embodiments, a method includes retrieving content associated with food from one or more food data sources. The method further includes classifying the content into food and nutrients, where each food contains one or more nutrients. The method further includes retrieving content associated with health from one or more health data sources, where the content associated with health includes information on physiological characteristics. The method further includes determining one or more of the physiological characteristics associated with a person ingesting one or more of the nutrients. The method further includes mapping a particular food, one or more of the nutrients, and one or more of the physiological effects. The method further includes generating the nutrition graph based on the mapping.

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: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

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, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures and a contrary set of hypotheses from the contrary set of NLP structures to determine a set of answers to the user query; summarizing the set of answers including indicating derivation thereof; and providing the summarized set of answers to the user.

Abstract: Systems, methods, and computer program products to perform an operation comprising identifying a first available dataset having a degree of similarity to a received input dataset that exceeds a similarity threshold, determining, based on a plurality of features of the first available dataset and a plurality of features of the input dataset, a set of recommendations for transforming the input dataset, and transforming a text of the input dataset based on the set of recommendations and to optimize the input dataset for processing by a natural language processing (NLP) algorithm.

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: A method and system for automatically determining a processing path is provided. The method includes generating an input criteria associated with performing a hardware apparatus implemented process. Metadata describing the input criteria is generated and stored. Weighting factors associated with the metadata are generated and a specialized hardware apparatus executing the hardware apparatus implemented process is enabled. Measurement characteristics associated with conditions resulting from the specialized hardware apparatus executing the hardware apparatus implemented process are retrieved from a plurality of hardware sensors. A resource database catalog for hardware based data processing resources is queried and an optimization process for determining an optimized processing path for processing the metadata with respect to the resource database hardware based data and the measurement characteristics is executed.