International Business Machines Corporation

Other

Wayfair LLC

Globalfoundries Inc.

Kyndryl, Inc.

Trudy L Hewitt

Robert Huntington Grant

Francesco Carmine Schembari

Kelley Anders

Jeremy R Fox

Jonathan D Dunne

Jeremy A Greenberger

Al Chakra

John Anthony Feller

Liam S Harpur

Jana Helton Jenkins

Shadi Eskamaei Albouyeh

Zachary A Silverstein

Christina Lynn Wetli

Fang Lu

Zachary M Greenberger

Joseph Lam

Mark Patrick Delaney

John Rice

Ashok Kumar Iyengar

James M Moreno

Christian Compton

Venkata Vishwanath Gadepalli

Michael Scott Thomason

Lisa Seacat DeLuca

Paul R Bastide

Kimberly Dawn McCall

Debra J McKinney

Robert M Schwenn, Jr

William K Wentworth

James Edward Fox

Lee A Jacobson

Prasad Lakshmi Imandi

Stacy M Cannon

John Kennedy

Maryam Ahmed

Melissa Restrepo Conde

Kerry Arella Moffo

Gregory J Boss

Lin Sun

Robert John Moore

Meenakshi Nagarajan

Wilson Velez

Heidi D Williams

Matthew Charles Hillary

Alan Chung

Mitchell Mason

Jonathan M Smith

Kenneth A Winburn

Merrilee Freeburg Tomlinson

Luc G Leblanc

Zachary Satira

Nathan Stewart

Sarbajit Kumar Rakshit

Shikhar Kwatra

Michael Bender

Martin Oberhofer

Mauro Marzorati

Qi Cheng Li

Tushar Agrawal

Steven Edward Atkin

Uri Kartoun

Alireza Pourshahid

Brett Ward

Saswati Dana

John C Rice

Timothy Brantner

Mayoore Selvarasa Jaiswal

Sonya Leech

Brian A O'Crowley

Paul Bergen

Shili Yang

Wesley A Hoffler

Hendrik Van Run

Lisa Ann Cassidy

Pauric Grant

An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

Summarizing multi-modal conversations in a multi-user messaging application

A method includes: receiving, by a computing device, user input defining a first location of a touchscreen of the computing device, the touchscreen displaying a user interface (UI) of an application; receiving, by the computing device, user input defining a second location of the touchscreen of the computing device; identifying, by the computing device, an interactive object of the UI at the first location; creating, by the computing device, an overlay including a copy of the interactive object and a masking object, the copy of the interactive object being at the second location and the masking object being at the first location; and causing, by the computing device, the touchscreen to display an output including the overlay superimposed over the UI.

Masked overlay for custom repositioning of interactive objects on a touchscreen of a computing device

A method, computer system, and a computer program product for optimizing social collaboration is provided. The present invention may include identifying content within a social collaboration history with a high level of engagement. The present invention may include generating one or more groups of unique topic keywords based on the identified content. The present invention may include receiving a potential post from a user. The present invention may include identifying an overlap between the potential post and at least one of the one or more groups of unique topic keywords. The present invention may include providing one or more recommendations to the user.

Information sharing with effective attention management system

A method for contextual data visualization includes receiving data selected by a user and meta-data associated with the data. The data is analyzed, using a processor of a computing device, to determine content and structure attributes of the data that are relevant to visualization of the data. The meta-data is analyzed, using a processor of the computing device, to determine a context in which the visualization of the data will be used. A database comprising an aggregation of visualization records from a plurality of users is accessed and at least one template from the data visualization records that matches the data attributes and context is selected. A data visualization is created by applying at least one template to the data.

Contextual data visualization

Ink saturation for a print job varies according to prioritized elements identified within a given document or print job. Elements are prioritized according to pre-defined values according to document type and identified elements within the document type. High priority elements of a document are assigned greater ink saturation than lower priority elements of the same document. Automated prioritization is made possible by a crowd-sourced knowledge corpus including pre-defined document types and corresponding elements of the documents. Historic configurations accepted by a user drive a learning process using a feedback loop for refined decision-making as print jobs are submitted for printing.

Variable ink saturation within a print job

A sentiment analysis of a chat session in which a plurality of chat messages are posted is performed. Based on the sentiment analysis, at least one emotive model is derived for the chat session. A sentiment of users in the chat session can be determined using the emotive model. A user composing a new chat message for the chat session can be monitored. Based on the monitoring, an impact on the sentiment of the users in the chat session by the new chat message can be determined. A client device can be initiated to display the impact on the sentiment of the users in the chat session by the new chat message before the new chat message is posted in the chat session.

Indicating sentiment of users participating in a chat session

A method, a computer system, and a computer program product for managing content relevancy is provided. Embodiments of the present invention may include collecting and analyzing a plurality of data, wherein the plurality of data includes document data, document access data and user data. Embodiments of the present invention may include retrieving topic model content based on the plurality of data. Embodiments of the present invention may include building a machine learning (ML) model to determine one or more topics contained in the topic model content. Embodiments of the present invention may include generating a heatmap based on the user data. Embodiments of the present invention may include building a content relevancy model (CRM) based on the ML model and the heatmap. Embodiments of the present invention may include determining an action state for the document data. Embodiments of the present invention may include storing the CRM.

Detecting and improving content relevancy in large content management systems

Audio of a user speaking is gathered while spatial data of the face of the user is gathered. Positions of elements of the face of are identified, wherein relative positions of the elements cause a plurality of qualities of the user voice. A subset of positions of the elements are identified to have caused a detected first quality of the user voice during the period of time. Alternate positions of the one or more elements are identified that are determined to cause the user voice to have a second quality rather than the first quality. A graphical representation of the face that depicts one or more adjustments from the subset of the positions to the alternate positions is provided to the user.

Graphical adjustment recommendations for vocalization

In an approach for identifying machinery conversion pivot opportunities utilizing a crowdsourced database, a processor receives machinery information for machinery of a user. A processor identifies a plurality of alternative uses for the machinery from a public cloud database based on the machinery information. A processor ranks the plurality of alternative uses for the machinery based on a set of factors. A processor sends the ranked plurality of alternative uses for the machinery to the user.

Machinery conversion pivot opportunity identification

In response to determining that an original message from a sender has been viewed by one or recipients of the original message, a determination is made whether the original message has been edited by the sender. In response to determining that the original message has been edited, another determination is made whether the edits are critical based, at least in part, on a change of context of the original message. In response to determining that the edits are critical, re-notifying the one or more recipients that the original message has been edited by the sender.

Message renotification

A method, computer system, and a computer program product for indicating a hyperlink record is provided. The present invention may include receiving a hyperlink. The present invention may also include searching a data structure including a repository of a plurality of hyperlinks stored in at least one user system, where each hyperlink in the repository of the plurality of hyperlinks includes a hyperlink record having at least one reference to the at least one user system. The present invention may then include identifying a record of the received hyperlink in the searched data structure. The present invention may further include, in response to identifying the record of the received hyperlink within the searched data structure, modifying the received hyperlink to indicate the at least one reference to the at least one user system.

Hyperlink visual indicator

Systems and methods of the invention determine evasiveness of postings and manage chat sessions accordingly. In embodiments, a method includes accessing a real-time text-based discourse session comprised of multiple text-based posts published by participants, the posts including a question from an author and responses from at least one respondent; determining relationships between words in the text-based discourse session utilizing corpus linguistics analysis; determining a frequency of the responses of the at least one respondent over time; determining an evasiveness score for each of the responses based on natural language processing of the responses, wherein each of the evasiveness scores indicate a level of relevance of a response with respect to the question; determining rankings for each of the responses based on the determined relationships of words, the frequency of the responses, and the evasiveness scores; and determining a display order for the responses based on the rankings of the responses.

Text-based discourse analysis and management

In an approach to determining the effectiveness of a proposed solution, one or more computer processors monitor real-time communications. The one or more computer processors identify or more topics associated with the monitored real-time communications. The one or more computer processors feed the identified one or more topics and associated real-time communications into a solution efficacy model. The one or more computer processors generate based on one or more calculations by the solution efficacy model, an efficacy rating for the identified real-time communications. The one or more computer processors generate a prioritization of the identified real-time communications based on the generated efficacy rating.

Collaborative real-time solution efficacy

Embodiments of the present invention disclose a method, computer program product, and system for generating hashtags. The method comprises receiving content to be posted on a social media service and analyzing the content to identify at least one item included in the content. Generating a first hashtag tree, wherein the content of the first hashtag tree contains information that indirectly relates to the identified at least one item, wherein the first hierarchical hashtag tree is comprised of multiple levels, wherein the first hierarchical hashtag tree includes words or phrases indirectly relates to the identified at least one item. Generating at least one hashtag from the first hierarchical hashtag tree and adding the at least one hashtag to the content and posting the content and the added at least one hashtag to the social media service, wherein the at least one hashtag is automatically added.

Structural geographic based cultural group tagging hierarchy and sequencing for hashtags

A computer-implemented method and system for arranging, in an ordered hierarchy, attached files as transferred during a discourse history. The computer implemented method includes accessing discourse data associated with a history of discourse communications. In embodiments, the discourse data includes a plurality of discourse attachments transferred in accordance with the history, and the discourse attachments include multiple versions of at least one discourse attachment within the plurality. The method further includes deriving a discourse attachment arrangement (DAA) component based at least in part on the discourse data. The method includes outputting, based at least in part on the DAA component, the multiple versions of the at least one discourse attachment arranged in a hierarchical order.

Content relevance based on discourse attachment arrangement

Growing community of inventors

Cary, NC, United States of America

Trudy L Hewitt