公开(公告)号：US20240427578A1

公开(公告)日：2024-12-26

申请号：US18340817

申请日：2023-06-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Nadiya Kochura ,  Jonathan D. Dunne ,  Fang Lu

IPC: G06F8/41 ,  G06F8/35

Abstract: A method for tuning software container interdependent systems includes receiving, by a computer processor operating a prediction engine, data from one or more software containers. The data includes operations from one or more software applications in the software containers. The prediction engine identifies a plurality of dependencies in the operations. The prediction engine develops a model of interdependencies based on the identified dependencies. The prediction engine determines one or more failure candidates in the identified dependencies. The prediction engine generates a software architecture template based on the identification of failure candidates.

公开(公告)号：US20240419890A1

公开(公告)日：2024-12-19

申请号：US18211331

申请日：2023-06-19

Applicant: International Business Machines Corporation

Inventor： Zachary A. Silverstein ,  Jonathan D. Dunne ,  Norton Samuel Augustus Stanley ,  Hemant Kumar Sivaswamy

IPC: G06F40/151 ,  G06F40/166 ,  G06F40/20

Abstract: The illustrative embodiments provide for signature discourse transformation. An embodiment includes detecting a signature discourse of a user by analyzing the user's discourse using corpus linguistics. The embodiment also includes generating computing a collection of words distinct to the user. The embodiment also includes sensing, using tone analysis and a natural language process model, a tone of the collection of words distinct to the user in the signature discourse utterance. The embodiment also includes mapping a cartesian value of the collection of words distinct to the user. The embodiment also includes deriving a signature discourse transformation (SDT) model from the signature discourse utterances, the collection of words, the tone, and the cartesian value. The embodiment also includes transforming, using the signature discourse transformation, an original discourse by the user into an anonymized text.

公开(公告)号：US12014330B2

公开(公告)日：2024-06-18

申请号：US17131773

申请日：2020-12-23

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Lisa Seacat Deluca ,  Jonathan D. Dunne

IPC: G06Q10/10 ,  G06F40/20

CPC classification number: G06Q10/10 ,  G06F40/20

Abstract: Participant inclusion determination can include generating a textual analysis of a draft of an electronic communication in response to a sender preparing the draft for conveyance over an electronic communications network. A word relevance score can be computed for each word of the draft based on the textual analysis. Probabilistically weighted distances between the sender, an initial recipient of the electronic communication, and more additional recipient candidates for additionally receiving the electronic communication can be determined. The probabilistically weighted distances can correspond to hierarchical distances within a hierarchical structure corresponding to an organization in which the sender, the initial recipient, and one or more additional recipient candidates are members. At least one of the additional recipient candidates can be selected for receiving the electronic communication over the electronic communications network based on the word relevance scores and the probabilistically weighted distances.

公开(公告)号：US20240152703A1

公开(公告)日：2024-05-09

申请号：US18052730

申请日：2022-11-04

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Qi Li ,  Jin Sheng Gao ,  Jonathan D. Dunne ,  Akash Bhargava

IPC: G06F40/35 ,  G06F16/332 ,  G06F40/279 ,  H04L51/02

CPC classification number: G06F40/35 ,  G06F16/3329 ,  G06F40/279 ,  H04L51/02

Abstract: A computing device determines similarity between a chat conversation and one or more other chat conversations in public chat channels within computer messaging software and automatically presents the similar public chat channels to a user. A computing device accesses a real-time chat conversation, the chat conversation taking place between a plurality of participants. The computing device analyzes the real-time chat conversation to generate a word density function model modeling at least a part of the real-time chat conversation. The computing device accesses one or more persistent conversations held in a plurality of public chat channels. The computing device determines one or more persistent conversations held in similar public chat channels based upon the generated word density function model. The computing device presents the determined one or more persistent similar public chat channels to a user.

公开(公告)号：US20240104398A1

公开(公告)日：2024-03-28

申请号：US17936372

申请日：2022-09-28

Applicant: International Business Machines Corporation

Inventor： Zachary A. Silverstein ,  Hernan A. Cunico ,  Jonathan D. Dunne ,  Nageswara Sastry Renduchintala

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: A computer implemented method processes log events. A computer system determines dependence and independence of training log events. The computer system clusters the training log events with determined dependence and independence to form clustered training log events. The computer system generates an event association model using the clustered training log events. The computer system clusters the log events using the event association model.

公开(公告)号：US20230237590A1

公开(公告)日：2023-07-27

申请号：US17648957

申请日：2022-01-26

Applicant: International Business Machines Corporation

Inventor： Lior Aronovich ,  Sam Ali-Mirsalari ,  Jonathan D. Dunne

IPC: G06Q50/00

CPC classification number: G06Q50/01

Abstract: Embodiments herein disclose computer-implemented methods, computer program products and computer systems including one or more processors configured for receiving user profile data corresponding to a plurality of user profiles each comprising profile attributes, determining profile attribute match scores for each of the profile attributes between each of the plurality of user profiles based on respective profile attribute pairs, and generating mentorship match data based on the profile attribute match scores, wherein the mentorship match data corresponds to a mentorship match between each pair of the plurality of user profiles.

公开(公告)号：US20230083444A1

公开(公告)日：2023-03-16

申请号：US17447738

申请日：2021-09-15

Applicant: International Business Machines Corporation

Inventor： Qiang Yao ,  Jian Jun Wang ,  Jonathan D. Dunne ,  Ziqiumin Wang ,  Fu Er Liu

IPC: G06F16/34 ,  G06N20/00 ,  G06F16/33 ,  G06F16/332

Abstract: A computer adjusts a set of presentation materials, comprising. The computer receives, from a source available to the computer, an initial set of presentation materials. The computer, in response to receiving the initial set of presentation materials, determines a reference presentation duration associated with initial set of presentation materials. The computer receives a target presentation duration from a target duration source available to the computer. The computer determines a presentation conversion value representing, at least in part, a ratio of the target presentation duration to the reference presentation duration. The computer applies a Machine Learning (ML) refactoring routine to revise the initial set of presentation materials in accordance, at least partially, with the presentation conversion value, thereby generating a refactored set of presentation materials having a revised conveyance duration substantially the same as the target duration.

公开(公告)号：US11558339B2

公开(公告)日：2023-01-17

申请号：US16418923

申请日：2019-05-21

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jeremy R. Fox ,  Kelley Anders ,  Liam S. Harpur ,  Jonathan D. Dunne

IPC: H04L51/52 ,  G06Q50/00

Abstract: Stepwise relationship cadence management can include generating a discourse cadence and confidence (DCC) measure based on a response message. The response message is made in replying to an originating message during a multi-party discourse over an electronic communication channel. The DCC measure indicates a likelihood of improving cadence and confidence with respect to an originator of the originating message and is based on a stepwise relational confidence model (SRCM) generated from an analysis of a plurality of prior multi-party discourses. Stepwise relationship cadence management can also include prompting a user to provide a follow-on message in response to determining that the response message made in replying to the originating message is not likely to improve cadence and confidence.

公开(公告)号：US11520846B2

公开(公告)日：2022-12-06

申请号：US16704055

申请日：2019-12-05

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jonathan D. Dunne ,  Nadiya Kochura ,  Alex Xingqi Casella ,  Fang Lu

IPC: G06F16/9536 ,  G06F40/186 ,  G06F40/174

Abstract: A method, computer system, and computer program product for petition creation through social analytics are provided. The embodiment may include generating a repository of user social data. The embodiment may also include extracting one or more social topics that are related to the user social data. The embodiment may further include generating a social supplication model using the repository and the extracted social topic. The embodiment may also include determining discussion issues within the social topic and a topic discussion distance between each user based on the generated social supplication model. The embodiment may further include generating a petition based on a determined discussion issue.

公开(公告)号：US20220382986A1

公开(公告)日：2022-12-01

申请号：US17303231

申请日：2021-05-25

Applicant: International Business Machines Corporation

Inventor： Nadiya Kochura ,  Fang Lu ,  Kelley Anders ,  Jonathan D. Dunne

IPC: G06F40/30 ,  H04L12/58 ,  G06F40/194

Abstract: An approach for directing a chat agent for an online discussion is provided. A processor retrieves message data from a messaging program. A processor identifies at least one topic present in the message data. A processor, responsive to a determination that the at least one topic is a primary topic, updates the chat agent with the primary topic. A processor modifies message data based on the determined primary topic.