International Business Machines Corporation

Sinoeast Concept Limited

John Edward Petri

Adam Clark

Aspen L Payton

Jeffrey K Huebert

Brian John Cragun

Kevin James Wendzel

Richard Joseph Stevens

David Gerald Herbeck

Mark Gregory Megerian

Michael T Kalmbach

Michael D Pfeifer

Frederick Allyn Kulack

Thomas John Eggebraaten

Joel C Dubbels

Sean Thomas Brownlow

John Stephen Mysak

Leah Rae Smutzer

Anthony W Eichenlaub

Corville O Allen

David Gerard Herbeck

John Christian Unterholzner

Kathryn Lamont Whaley

Todd Eric Johnson

William Craig Rapp

Marie Louise Setnes

Charles S Gauthier

Nathan Glenn Faiman

David Stanich

Andrew Ronald Freed

Gregory Paul Andrews

Michael W Schroeder

Shikhar Kwatra

Michelle A Schlicht

Peter Frederick Haggar

Roberto Delima

Kevin Spencer Barker

Jennifer L Szkatulski

Stephan Joseph Roorda

Douglas R Fish

Elizabeth T Dettman

Patrick Michael Wildt

Cynthia M Murch

Vanadis Mack Crawford

Jan M Nordland

Humberto R Rivero

Dane A Johnson

Terrence Theodore Nixa

Richard L Stillwell

Wesley Powers

Harlan Kent Brown

Jeffrey F Eisterhold

John P Ponthempilly

Gary R Summer

Terry D Hardin

Erick Black

Systems, methods, and apparatus for communication assistance for aneurotypical individuals are described. Embodiments of the systems, methods, and apparatus may receive input data during a communication between a first user and a second user, generate feedback based on the input data using a shared network comprising psychological information about the second user, wherein the shared network is based at least in part on interactions between the second user and a third user, and provide the feedback to the first user during the communication.

Context information reformation and transfer mechanism at inflection point

Provided are techniques for generating and customizing summarized notes. A template is selected from a plurality of templates based on a context using a machine learning model. The template includes one or more translatable string resources with variables to represent key attributes extracted from historical notes. A summarized note is generated using values of the key attributes for the variables in the translatable string resources of the template.

Generating and customizing summarized notes

A computing system receives a plurality of medical perspectives for each medical treatment option of a plurality of medical treatment options. A machine learning model assigns a weight to each medical perspective for each medical treatment option by determining how often a care provider has agreed with each perspective within the plurality of medical perspectives. The computing system receives a medical treatment option ranking for each of the medical perspectives. The computing system generates a score for each medical perspective as applied to each medical treatment option based on a combination of the weight and the ranking for each medical perspective. The computing system aggregates the scores across the plurality of medical perspectives into an overall score for each medical treatment option.

Customized aggregate scoring using machine learning

Provided are techniques for a personalized, social navigation coach. While a commuter is commuting on a commute path, periodically, current conditions for the commute path are determined. One or more risk factors of having an accident based on the current conditions and a commute model are identified, where the one or more risk factors are associated with one or more icons, and where the commute model uses sensor data comprising historic data at different points in time. A graphic range is generated with an indicator that indicates an amount of risk of having an accident along the graphic range. The one or more icons and the graphic range are displayed.

Personalized social navigation coach

Embodiments provide for reduced user input requests by identifying predefined diagnosis paradigms; creating a synthetic diagnosis paradigm via a machine learning process based on prior selections of action plans recommended by the predefined diagnosis paradigms and values entered therefor, wherein the synthetic diagnosis paradigm identifies the action plans to treat the plurality of conditions based on a subset of the attribute inputs used by the predefined diagnosis paradigms; generating a graphical user interface (GUI) to prompt input for values for the subset of attribute inputs; in response to receiving the values for the subset of attribute inputs, identifying at least one condition according to the predefined and synthetic diagnosis paradigms; and displaying the action plans in the GUI in association with the synthetic and predefined diagnosis paradigms according to evaluations of the action plans based on the respective logical structures.

Reducing input requests in response to learned user preferences

Provided are techniques for detecting and highlighting insightful comments in a thread of content. A context is determined for a thread of content including comments. Each of the comments in the thread of content is analyzed to determine which comments are insightful and which comments are not insightful. At least one of highlighting the comments that are insightful and hiding the comments that are not insightful are performed. Semantic relationships are used to provide supporting evidence and cross references to additional information for the comments that are related to the context.

Detecting and highlighting insightful comments in a thread of content

A method, computer system, and computer program product for determining qualities of user favorable photographs are provided. The embodiment may include receiving a plurality of photographs from an electronic device. The embodiment may also include parsing each photograph. The embodiment may further include calculating a favorability value of each photograph. The embodiment may also include determining whether the favorability value of each photograph exceeds a favorability threshold value. The embodiment may further include organizing the received photographs into one or more clusters based on features of each photograph. The embodiment may also include generating a classification model for each cluster.

Cognitively identifying favorable photograph qualities

A first user of a first device transmits information to a second user of a second device located within a predetermined distance from the first device, wherein an ad-hoc network is formed from the first device and the second device. In response to determining that the information is likely to be of interest to other users, the information is propagated from the second user of the second device, to a third user of a third device within the predetermined distance from the second device, and the third device is included in the ad-hoc network.

Peer to peer propagation of information in social networks

A method, computer system, and computer program product for cognitively coaching a user to take favorable photographs are provided. The embodiment may include determining characteristics of favorable photographs from a favorable photo database using image analysis techniques. The embodiment may also include identifying subjects in a current camera frame. The embodiment may further include identifying characteristics of a photograph from a current camera frame. The embodiment may also include determining similarities or differences between the favorable photographs and the current camera frame. The embodiment may further include generating directions that map a current state of similar characteristics to the favorable photographs.

Cognitively coaching a subject of a photograph

A system, a method, and a computer program product for managing answer feasibility in a Question and Answering (QA) system. A set of candidate situations is established. The set of candidate situations corresponds to a first set of answers. A QA system establishes the set of candidate situations by analyzing a corpus. The first set of answers will answer a question. The QA system identifies a subset of the set of candidate situations. The subset of candidate situations corresponds to a portion of contextual data. The portion of contextual data is from a set of contextual data. The set of contextual data relates to the question. The question-answering system determines a set of answer feasibility factors. The set of answer feasibility factors is determined using the subset of candidate situations. The set of answer feasibility factors indicates the feasibility of the answers in the first set of answers.

Managing answer feasibility

A container agent executing on the mobile device receives a container from a container manager server in response to the mobile device being within the predetermined proximity of the physical location. The container comprises instructions that modify the original functionality of the mobile device. The container agent monitors operation of the mobile device to determine if the operation satisfies a triggering condition for execution of the container, and if so, executes the container. In response to the mobile device leaving the predetermined proximity of the physical location, the container agent removes the container from the mobile device and restores the original functionality of the mobile device.

Location specific container based management of mobile devices

Managing answers in a question-answering environment is disclosed. Managing answers in the question-answering environment can include sorting, based on a set of answer categories for a subject matter, a first set of answers into a first answer category and a second set of answers into a second answer category. Managing answers in the question-answering environment can include determining, using the subject matter, a first category sequence including the first answer category and the second answer category, and establishing, based on the first category sequence, a first answer sequence established from a portion of the first set of answers from the first answer category and a portion of the second set of answers from the second answer category.

Answer management in a question-answering environment

A processor uses natural language processing to ingest product reviews for a plurality of products. Each of the products embodies a specific form for each of the plurality of product features. The processor analyzes the ingested product reviews for sentiments associated with the specific forms. The processor generates a sentiment score for each product feature based on the analysis. The processor ranks the plurality of product features based on the sentiment scores.

Analyzing sentiment in product reviews

A computer-implemented method for cognitive matching of narrative data may include collecting a set of data for a party and determining, by analyzing the set of data, an identifiable event for the party. In addition, the method may include identifying, using the identifiable event, a relevant feature of a corpus and providing an output corresponding to the relevant feature.

Cognitive matching of narrative data

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Lewiston, MN, United States of America

John Edward Petri