International Business Machines Corporation

Kyndryl, Inc.

Maplebear Inc.

Snap Inc.

James Edward Bostick

John Michael Ganci, Jr

Sarbajit Kumar Rakshit

Martin G Keen

Craig M Trim

John Paul Kaemmerer

Kimberly Greene Starks

Raghuraman Kalyanaraman

Brian M O'Connell

Hernan A Cunico

Keith R Walker

David Scott Wenk

Randolph Michael Forlenza

Shuvamoy Saha

Danny Y Chen

Souvik Majumdar

Wing L Leung

Ajay K Behuria

Courtney Joseph Spooner

Ji Young Roe

Brian Wayne Hansen

Arvind Singh

Jia Chen

Keyur D Dalal

Paul Alexander Raphael Frank

Ajoy Acharyya

Stephen G Meyer

Paul E Hensler

Gregory J Boss

David Bruce Lection

Tamer E Abuelsaad

Danny Yen-Fu Chen

Randolph M Forienza

David W Watts

Rashmi Avancha

Aaron K Baughman

Gandhi Sivakumar

Jeffrey Paul Kubala

Munish Goyal

Roger E Hough

Carlos A Fonseca

Richard D Johnson

Ira Glenn Siegel

Daniel Tam

Suzanne M John

Norman Ehsan Shafa

Sharon Woodall White

Michael Wendel

Karen M Noonan

Wunchon Beak

Ibrahim Salah

Kent Hua

Shashank Katare

Systems and methods for ranking search results according to a knowledge level of a user are provided. A computer-implemented method includes: receiving, by a computing device, a search query from a user via a user computer device; determining, by the computing device, a plurality of results based on the search query; determining, by the computing device, a respective expertise level for each of the plurality of results; ranking, by the computing device, the plurality of results based on a knowledge level of the user and the respective expertise level for each of the plurality of results; and outputting, by the computing device, the ranked plurality of results to the user computer device.

Ordering search results based on a knowledge level of a user performing the search

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining communication data streams, extracting data relevant to a point of view of a user, and generating a point of view record in a knowledge base that may be utilized by another user communicating with the user.

Cognitive communication assistant services

Systems and methods for generating customized image reaction submissions and visualizations on social networks are disclosed. In embodiments, a computer-implemented method includes: obtaining, by the computing device, user profile data of a user accessing an image on a social network, wherein the user profile data includes user interest categories of the user; determining, by the computing device, select content classes from a plurality of content classes associated with the image, wherein the select content classes match user interest categories of the user based on the user profile data; providing, by the computing device, selectable reactions to the user, wherein the selectable reactions each represent a different user reaction to the image; and providing, by the computing device, selectable content options to the user, wherein content option is associated with a different one of the content classes and is selectively associated, by the user, with at least one of the reactions.

Customized image reaction submissions and visualization on social networks

Methods, systems, and computer program products includes, for example, detecting a first personal electronic device associated with a first user in the presence of a second personal electronic device associated with a second user, determining the first personal electronic device in the presence of the second personal electronic device being associated with the first user and the second user being in a business setting, receiving user data regarding the second user in response to the determination of the first user and the second user being in the business setting, and storing the received user data regarding the second user in a first memory for access by the first user on the first personal electronic device.

Automatic information exchange between personal electronic devices upon determination of a business setting

Methods, computer program products, and systems are presented. The methods include, for instance: collecting location data of users and identifying candidates for an impromptu interaction amongst the users based on converging locations of the candidates. A topic of the impromptu interaction is determined by common work interests amongst the candidates. Notification of the impromptu interaction is sent to the candidates to inform the topic and the other candidate, also with resources relevant to the topic.

Cognitive impromptu interaction assistant

A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Real-time product selection guidance for conditional sales

A method of searching for videos includes receiving, by a computer device, a search query from a user computer device. The method also includes determining, by the computer device, a set of videos that satisfy the search query. The method further includes determining, by the computer device, a subset of related videos from the set using metadata to determine a relationship based on date, time, and location. The method additionally includes generating, by the computer device, a consolidated video from the subset of related videos by merging a first portion of a first one of the subset of related videos with a second portion of a second one of the subset of related videos.

Consolidating video search for an event

By monitoring an in-person interaction using a first Internet of Things (IoT) device, an entity relationship between parties in the in-person interaction is identified. Using data resulting from the monitoring, a habit workflow corresponding to the entity relationship is generated, wherein the habit workflow comprises a sequence of habits and a habit in the sequence of habits comprises performance of a behavior. A second IoT device able to monitor execution of the habit workflow is identified. Using the second IoT device, execution of the habit workflow is monitored. A motivational method corresponding to the execution is identified from the monitored execution.

IoT device based habit workflow management

By analyzing execution of a set of transactions by an application, a set of actual code execution paths of the application are determined. From the set of actual code execution paths, a set of predicted execution paths of the application are predicted using an execution prediction model. The set of predicted execution paths includes the set of actual code execution paths. By determining that paths in the set of predicted execution paths have above a threshold similarity to each other, a cluster of predicted execution paths is identified. The cluster of predicted execution paths is recommended, using a recommendation model, for implementation as a single execution path in a revised version of the application.

Application function consolidation recommendation

Aspects of the present invention provide devices that identify a question in a text message of a chat session between a plurality of computing devices, wherein each of the plurality of computing devices includes an identifier of a user of a corresponding computing device in the text message, analyze digital data to determine a relationship between the users of the plurality of computing devices, construct search parameters for digital content external to the chat session according to the identified question and determined relationship, search for the digital content over a network according to the constructed search parameters to obtain search results, rank the search results according to the determined relationship, and distribute the ranked search results according to the determined relationship to at least one of the plurality of computing devices in an overlay of the chat session.

Chat session external content recommender

An embodiment for determining a drop-off location of a passenger is provided. The embodiment may include receiving a pick-up location and drop-off location from one or more passengers. The embodiment may also include identifying the one or more passengers to be picked up from a passenger profile. The embodiment may further include identifying one or more factors associated with each passenger. The embodiment may also include in response to determining the drop-off location is not appropriate, notifying the one or more passengers of an alternative drop-off location. The embodiment may further include in response to determining the drop-off location is appropriate, dropping the one or more passengers off at the drop-off location. The embodiment may also include in response to determining the one or more passengers are not responsive to the notification, dropping each passenger who did not respond off at the alternative drop-off location.

Determine passenger drop-off location based on influencing factors

A computer-implemented method includes: receiving, by a computing device, an input file defining correct spellings of one or more transliterated words; generating, by the computing device, suffix outputs based on the one or more transliterated words; generating, by the computing device, a dictionary that maps the suffix outputs to the one or more transliterated words; recognizing, by the computing device, an alternatively spelled transliterated word included in a document as one of the one or more correctly spelled transliterated words using the dictionary; and outputting, by the computing device, information corresponding to the recognized transliterated word.

Recognizing transliterated words using suffix and/or prefix outputs

Techniques for composite imagery rendering in a diminished reality environment for medical diagnosis are provided. In one aspect, a method for composite image rendering in a diminished reality environment for medical diagnosis includes: analyzing medical imagery scans for a patient visiting a medical office for consultation with a physician for a diagnosis; obtaining real-time images of the patient who is physically located in the medical office; creating a composite image of the patient comprising relevant portions of the medical imagery scans combined with the real-time images of the patient; selecting one or more portions of the composite image to diminish for the diagnosis; and rendering the composite image in a diminished reality environment.

Composite imagery rendering in diminished reality environment for medical diagnosis

In an embodiment, cognitive adjustment of responses from a virtual assistant includes detecting verbal content in an audio signal, determining that the verbal content includes a voice command associated with a task by correlating the verbal content with voice command data stored in memory, determining a state of the user from the audio signal by cognitively comparing aspects of the verbal content with aspects of profile data associated with the user, and retrieving task data associated with the task for preparing a response to the voice command.

Creating response schedule for tasks from cognitive state of a user

An embodiment includes receiving, by a processor, an indication that a first device transmitted a file having tracking metadata to a second device. The embodiment also includes receiving, by the processor, an indication of a modification to the file by the second device. The embodiment also includes evaluating, by the processor, the modification to the file using a cognitive process that analyzes the modification as it relates to profile information for a user and generates a significance value associated with the change. The embodiment also includes automatically initiating, by the processor and responsive to the generating of the significance value, a selected responsive action from among a plurality of responsive actions based at least in part on the significance value, where the automatic initiation of the selected responsive action includes automatic transmission of a notification to the first device regarding the modification to the file.

Cognitive synchronization of digital files

Growing community of inventors

Austin, TX, United States of America

James Edward Bostick