International Business Machines Corporation

Carmine M DiMascio

Donna Karen Byron

Florian Pinel

Timothy P Winkler

Benjamin L Johnson

Corville O Allen

Jacquelyn Annette Martino

Edward Eugene Seabolt

Christian Ewen

Robert N Redmond

Brian Hull

William S Spann, Iii

Domenic A Venuto

Tamer E Abuelsaad

Bruce Raymond Slawson

A method, computer system, and computer program product for determining a desirability of a product attribute are provided. The embodiment may include extracting a plurality of product features corresponding to one or more products. The embodiment may also include analyzing a plurality of product reviews to determine a sentiment toward the extracted product features. The embodiment may further include calculating a desirability score for each product feature. The embodiment may also include, in response to receiving a user query associated with a product, identifying a product feature to which the received user query relates. The embodiment may further include generating a response to the received user query based on the calculated desirability score.

Desirability of product attributes

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.

Devices, systems, and methods for secure and adaptable transportation of goods and/or persons

A method, computer system, and a computer program product for generating a custom object is provided. The present invention may include extracting a plurality of constituent components from a static list of previously determined objects associated with a place of purchase. The present invention may then include receiving, from a user, one or more custom objects based on the extracted plurality of constituent components from the place of purchase. The present invention may also include generating, dynamically, a price for each of the one or more selected custom objects based on the extracted plurality of constituent components. The present invention may further include presenting, to the user, the selected one or more custom objects.

Creating custom objects from a static list of objects and turning the custom objects into trends

An iterative process for cognitive assessment of generated work products relies on a variety of assessors providing different granularities such as coarse, medium and fine, in combination with user guidance. A cognitive system generates candidates based on soft constraints such as user preferences. The candidates are analyzed using first assessors to compute preliminary scores which are ranked and presented to a user. Based on user selection/adjustment, the system generates a final work product which is analyzed using second assessors, and presents the final work product and final scores to the user. There may be multiple iterations of the user adjustment and refined presentation of final work products. The invention may be consummated by receiving confirmation of the final work product from the user, and taking some action such as electronically completing a purchase of a product or electronically reserving a third-party service.

Iterative cognitive assessment of generated work products

Creating an animated pictogram includes: generating a set of images depicting a weather forecast for a first location at different times according to a set of depiction rules and combining the set of images in chronological order according to a set of transition rules.

Creating an animated pictogram

A system for entity-level clarification in conversation services includes a memory having instructions therein. The system also includes at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive a conversation services training example set, build an entity usage map using the conversation services training example set, receive a user utterance, and, responsive to a reception of the user utterance, generate a clarification response using the entity usage map. The at least one processor is also configured to execute the instructions to provide the clarification response to a user.

Entity-level clarification in conversation services

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.

System and method for identifying candidates for back-of-book index

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.

Instruction element variability

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.

Cognitive advertising triggered by weather data

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.

Real-time context based recipe recommendation system

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.

User interface widget recommendation

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.

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Boston, MA, United States of America

Carmine M DiMascio