International Business Machines Corporation

Nuance Communications, Inc.

Globalfoundries Inc.

Janani Janakiraman

Fang Lu

Susan Marie Cox

Rabindranath Dutta

Nadiya Kochura

Meenakshi Sripal

Dany R Madden

Su Liu

David B Kumhyr

Richard Scott Schwerdtfeger

Steven Michael French

Loulwa F Salem

Megan D Kostick

Daniel Ramirez

Lorin Evan Ullman

Carole Rhoads Corley

Jenny S Li

Janice Marie Girouard

Steven Francis Best

Anuradha Rao

Basu Vaidyanathan

Joefon Jann

Richard James McCarty

Kumar Ravi

Robert J Eggers

Garry Lee Child

Wendy Chong

Wendel Glenn Voigt

Tai-chi Su

Ronald C Geiger, Jr

Anubhav Sarkar

Prach Jerry Chuaypradit

Anna Astakhishvili

Singpui Zee

Karthik Ramamoorthy

Basavaraju G

Rose N Judge

Basu Viadyanathan

Cristi Nesbitt Ullmannn

Lorin Evan Ullmann

Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.

Content evaluation based on machine learning and engagement metrics

Modifying a recipe for food based on a geographic origin of produce in the recipe is disclosed. A recipe is identified by a data processing system for a food dish, produce procured for the recipe from source(s), and determines a geographic origin where the produce was grown and an estimated transport time of the produce from the geographic origin to the source(s). A data processing system analyzes the recipe against ingredient(s) available to the user and aspect(s) of the produce, resulting in analysis result(s), modifies the recipe, resulting in a modified recipe based on the geographic origin, the transport time (may be estimated) and the analysis result(s), and makes available to the user the modified recipe.

Modification of food recipes based on geographic origin of produce

Embodiments of the present invention describe creating a monitoring package by integrating a personal information management system (PIMS) and a social network profile for a user. Embodiments comprise continuously monitoring e-mail messages, calendar entries, social media posts, and social media comments of the integrated PIMS and social network profile, collecting participant preference information and meeting data from the monitoring package, identifying an upcoming meeting for the user according to the meeting data, and determining a list of participants for the upcoming meeting based on conversation threads associated with the upcoming meeting collected from the monitoring package. Embodiments further comprise collecting a set of participant preference information for the participants in the list of participants including the participant preference information for the user, determining a workplace set-up for the upcoming meeting based on the set of participant preference information, and outputting a workplace arrangement for the upcoming meeting.

Dynamic workplace set-up using participant preferences

A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Categorized social opinions as answers to questions

Methods, systems, and computer program products for electronic communication operations are provide. Aspects include receiving communication data associated with an electronic communication, wherein the communication data includes textual data, analyzing attachment data associated with an attachment to the electronic communication, comparing the communication data to the attachment data to determine a relevancy score, and based on the relevancy score, enacting an action for the electronic communication.

Attachment analytics for electronic communications

A method, computer program product, and system includes a processor(s) obtaining content displayed to the user on a computing device communicatively coupled to an input device(s) and/or output device(s). The processor(s) analyzes the content, to identify portions that represent types of content and tags the identified portions with one or more generic tags. The processor(s) generates a sentiment profile of the user by identifying interests of the user and identifying subjects of past electronic communications by the user. The processor(s) maps sentiments in the sentiment profile, to topics, based on the interests and the subjects identified. The processor(s) identifies an identified portion of the content relevant to a topic(s) mapped to a sentiment. The processor(s) generates and implements a physical change to the input device(s) or output device(s) to elicit a sentiment from the user, where the sentiment is mapped to the topic(s).

Implementation of physical changes to devices for effective electronic content reception

A working animal reaction handling method monitors reactions of a working animal in an environment to conditions of that environment. The method uses an imaging device to obtain images of the environment, the images providing at least a portion of environmental data about the environment. The method ascertains, based at least in part on the environmental data, a cause of a reaction, of the monitored reactions, of the working animal, electronically signals a handler of the working animal with an alert about the ascertained cause of the reaction of the working animal.

Working animal reaction handling

A method, computer program product, and system for enhancing dynamically enhancing query results. A processor(s) monitors computing activities performed by a user, via a client. The processor(s) analyzes the computing activities to identify data comprising a user profile: elements relevant to the user and relationships. The processor(s) generates a knowledge graph with the data. The processor(s) obtains input from the user. The processor(s) executes one or more queries on one or more data sources to retrieve standard search results. The processor(s) analyzes the input and the search results to identify segments of the input and the search results relevant to items comprising the data in the graph and defines links between the items, the data, and the segments. The processor(s) generates contextual search results that include the standard search results, a portion of the items, and a portion of the links and transmits the contextual search results, to the client.

Dynamically enhancing query results

Provided is a method, computer program product, and virtual conferencing system for providing virtual conferencing assistance to a user. A processor may monitor a virtual conferencing session between a plurality of users. The processor may detect a command to interact with a user interface (UI) element has been given. The processor may analyze UI action data in locating the UI element for the plurality of users. The processor may compare the UI action data for the plurality of users to a data threshold. The processor may determine, in response to the data threshold being met, that a user is experiencing difficulty in locating the UI element. The processor may provide, in response to determining that the user is experiencing difficulty, assistance to the user in locating the UI element.

Virtual conferencing assistance

Presenting a coloring pattern by a case of a mobile device according to received content includes receiving, by the mobile device, content; determining, based on the content, a coloring pattern; generating, based on the coloring pattern, a heat pattern in an inductive mesh of the mobile device; and presenting, by a thermally activated material included in the case of the mobile device and in thermal contact with the inductive mesh, the coloring pattern.

Presenting a coloring pattern by a case of a mobile device based on received content

In an approach to cognitive message response, a computer receives an electronic message from a message initiator. The computer creates a custom knowledge base associated with a recipient of the electronic message. The computer determines whether the recipient is available to respond to the received electronic message. The computer determines a status of the recipient based on the custom knowledge base and one or more types of unstructured data. The computer determines a status of the message initiator. Based on the received electronic message, the computer determines a content of the message. Based on the status of the recipient, the status of the initiator, and the content of the electronic message, the computer predicts a response of the recipient to the received electronic message. The computer creates a response to the received electronic message based on the predicted response. The computer transmits the response to the message initiator.

Cognitive message response assistant

Embodiments provide a method and device that enables automatic selection of settings for ironing one or more pieces of fabric. A digital camera on an ironing device captures an image of a fabric. A wireless communication device on the ironing device communicates the image to a remote computing system for digital image processing to determine a fabric type and to select a set of settings based on the fabric type. The wireless communication device receives the set of settings from the remote computing system. The set of settings are applied to the ironing device.

Automated selection of settings for an ironing device

A system includes a distribution center for scanning mail intended for and received from clients in a community. The mail scanned for generating sender, recipient, type, and arrival data. Category data is generated and includes a payables category, a donation category, and a printed matter category. Client preferences data is also generated. The data is mined to find commonalities of mail sent to and received from clients. An action is invoked based on the mined data and it is determined that the action is a payables, donation, or printed matter action. If the action is either a payables or donation action then, a client and a third party are notified prior to execution of the action. If the action is a printed matter action then, then a printed matter shared by more than one client is presented for sharing.

Gathering and mining data across a varying and similar group and invoking actions

Growing community of inventors

Austin, TX, United States of America

Janani Janakiraman