公开(公告)号：US20240137465A1

公开(公告)日：2024-04-25

申请号：US18047775

申请日：2022-10-18

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jia Liu ,  Zhan Peng Huo ,  Qi Li ,  Yan Fei Qin ,  Lu Yan Li

IPC: H04N7/15 ,  G06F3/14 ,  H04L12/18

CPC classification number: H04N7/152 ,  G06F3/1454 ,  H04L12/1822

Abstract: A computer-implemented method for managing information during a web conference is provided. The computer-implemented method includes collecting and formatting meeting application information at a processor of a computing device having a screen being shared with attendees of the web conference and collecting and formatting to-be-popup application information at the processor. The computer-implemented method further includes analyzing, by the processor, an urgency of the to-be-popup application information and a correlation between the to-be-popup application information and the meeting application information and determining, by the processor, whether to share the to-be-popup application information with a user of the computing device and with the attendees based on results of the analyzing.

公开(公告)号：US11906575B2

公开(公告)日：2024-02-20

申请号：US16854776

申请日：2020-04-21

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jia Liu ,  Zhiyuan Li ,  Dean Steuer ,  Hyman David Chantz

IPC: G01R31/08 ,  G01R31/28 ,  H02J13/00 ,  G06N20/00

CPC classification number: G01R31/2839 ,  G01R31/2846 ,  G06N20/00 ,  H02J13/00002 ,  H02J13/00022

Abstract: A device, system, and a computer-implemented method a for identifying an anomaly in an operation of a device includes comparing, by an electrical power analyzer, a current power draw signature of the device with a known power draw signature of the device. There is a determining as to whether at least one anomaly is present in the current power draw signature. A warning is generated in response to determining the at least one anomaly is present in the current power draw signature.

公开(公告)号：US11651250B2

公开(公告)日：2023-05-16

申请号：US16689149

申请日：2019-11-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jennifer A. Mallette ,  Shuai Wang ,  Steven Ware Jones ,  Ruchi Asthana ,  Jacob Lewis ,  Jia Liu ,  Vivek Salve

IPC: G06F16/00 ,  G06N5/04 ,  G06N20/00 ,  G06F16/35 ,  G06F16/332

CPC classification number: G06N5/04 ,  G06F16/3329 ,  G06F16/353 ,  G06N20/00

Abstract: A computer-implemented method, a computer system, and a computer program product for automatically generated conversation output is provided. The present invention may include training an answer-intent classifier to associate an intent expressed in an example question with an example answer that is responsive to the example question. The present invention may further include classifying, using the trained answer-intent classifier, a content transmitted to the trained answer-intent classifier with the intent expressed in the example question in response to determining, using the trained answer-intent classifier, that the content includes relevant information for generating the example answer that is responsive to the example question.

公开(公告)号：US20220028378A1

公开(公告)日：2022-01-27

申请号：US16939520

申请日：2020-07-27

Applicant: International Business Machines Corporation

Inventor： Steven Ware Jones ,  Jacob Lewis ,  Shuai Wang ,  Jennifer A. Mallette ,  Ruchi Asthana ,  Jia Liu ,  Vivek Salve

IPC: G10L15/22 ,  G10L15/08 ,  G10L15/30 ,  G06F16/951 ,  G06F16/9532 ,  G06F16/9538

Abstract: A method, system, and computer program product for routing queries to answer resources based on component parts and intents of a received query is provided. The method receives a query from a user. The query is analyzed to identify a set of entities associated with the query and generate an utterance representing the query. The method generates an intent classification for the utterance and a vector for the query. The vector is generated based on the set of entities, the utterance, and the intent classification. The method determines an answer resource for the query based on the vector and the intent classification of the query. In response to determining the answer resource, the method provides an answer interface based on the query, the vector, and the intent classification. The answer interface dynamically provides a response to the query.

公开(公告)号：US20210325447A1

公开(公告)日：2021-10-21

申请号：US16854776

申请日：2020-04-21

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jia Liu ,  Zhiyuan Li ,  Dean Steuer ,  Hyman David Chantz

IPC: G01R31/28 ,  G06F1/28 ,  G06N20/00 ,  H02J13/00

Abstract: A device, system, and a computer-implemented method a for identifying an anomaly in an operation of a device includes comparing, by an electrical power analyzer, a current power draw signature of the device with a known power draw signature of the device. There is a determining as to whether at least one anomaly is present in the current power draw signature. A warning is generated in response to determining the at least one anomaly is present in the current power draw signature.

公开(公告)号：US20210150385A1

公开(公告)日：2021-05-20

申请号：US16689149

申请日：2019-11-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jennifer A. Mallette ,  Shuai Wang ,  Steven Ware Jones ,  Ruchi Asthana ,  Jacob Lewis ,  Jia Liu ,  Vivek Salve

IPC: G06N5/04 ,  G06F16/332 ,  G06F16/35 ,  G06N20/00

Abstract: A computer-implemented method, a computer system, and a computer program product for automatically generated conversation output is provided. The present invention may include training an answer-intent classifier to associate an intent expressed in an example question with an example answer that is responsive to the example question. The present invention may further include classifying, using the trained answer-intent classifier, a content transmitted to the trained answer-intent classifier with the intent expressed in the example question in response to determining, using the trained answer-intent classifier, that the content includes relevant information for generating the example answer that is responsive to the example question.

公开(公告)号：US11645142B1

公开(公告)日：2023-05-09

申请号：US17574630

申请日：2022-01-13

Applicant: International Business Machines Corporation

Inventor： Zhan Peng Huo ,  Jia Liu ,  Pei Ci Fang ,  Nan Mu ,  Lin Lin LL Su

IPC: G06F11/00 ,  G06F11/07

CPC classification number: G06F11/079 ,  G06F11/0751

Abstract: Embodiments are for using sequential set index to determine the root cause location of software issues and problem verification of the software issues. Fail data for a software program is received. The fail data corresponds to a plurality of failed test cases for the software program. It is determined that at least one model in a plurality of models includes at least one case that matches the fail data of the software, each of the plurality of models having one or more cases, the at least one case being in the one or more cases. It is determined that a root cause of the at least one model corresponds to the plurality of failed test cases for the software program.

公开(公告)号：US20200250277A1

公开(公告)日：2020-08-06

申请号：US16268349

申请日：2019-02-05

Applicant: International Business Machines Corporation

Inventor： Jennifer A. Mallette ,  Steven W. Jones ,  Vivek Salve ,  Jia Liu

IPC: G06F17/27 ,  G06Q30/02

Abstract: A method, system and computer program product for improving the understanding of chat transcript data. Chat transcripts are analyzed to classify the utterances into intents and identify products discussed in the chat transcripts. The data of the chat transcripts are divided into categories of utterances associated with products and intents by applying tags to the chat transcripts. The categories of utterances associated with products and intents are then clustered into clusters based on sentence similarity. Once the utterances are grouped, a representative utterance is extracted from a cluster, where the representative utterance is an utterance that has the highest semantic similarity to the utterances in the cluster. In this manner, users will be provided a more accurate guide as to the underlying meaning of the chat transcript data thereby improving the understanding of the chat transcript data more efficiently and accurately than current chat transcript analysis tools.

公开(公告)号：US09459950B2

公开(公告)日：2016-10-04

申请号：US14514029

申请日：2014-10-14

Applicant: International Business Machines Corporation

Inventor： Anuradha Bhamidipaty ,  Winnie Wing-Yee Cheng ,  Aliza R. Heching ,  Anshu N. Jain ,  Jia Liu ,  James R. Moulic ,  Daniela Rosu ,  Mithkal M. Smadi ,  Srikanth G. Tamilselvam

IPC: G06F15/18 ,  G06F11/07 ,  G06N5/00 ,  H04L12/24 ,  G06F3/0484

CPC classification number: G06F11/079 ,  G06F3/04842 ,  G06F3/04847 ,  G06F11/0751 ,  G06N5/00 ,  H04L41/0631 ,  H04L41/069 ,  H04L41/5074

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. A pattern of actions included in interactions with a computer program is determined to be effective at proactively preventing a problem in the IT environment based on a frequency at which user(s) performed the interactions which perform text and statistical analyses of content of historical problem tickets. A script based on the pattern of actions is generated. A root cause of the problem is determined based on the text and statistical analyses. Responsive to a receipt of a new problem ticket, the script is executed to automatically perform the pattern of actions. The new problem ticket is classified as being in a group of problem tickets which are related to the problem and included in the historical problem tickets. The new problem ticket is determined to specify the problem which has the root cause.

Abstract translation: 介绍了一种在信息技术（IT）环境中识别相关问题单的方法。 确定包含在与计算机程序的交互中的动作模式是有效的，以主动地防止IT环境中的问题基于用户执行对历史问题票的内容进行文本和统计分析的交互的频率 。 生成基于动作模式的脚本。 根据文本和统计分析确定问题的根本原因。 响应于收到新的问题单，执行脚本以自动执行动作模式。 新的问题单分类为与问题有关的一组问题票，并列入历史问题票。 确定新的问题单以指定具有根本原因的问题。

公开(公告)号：US20150033077A1

公开(公告)日：2015-01-29

申请号：US14514029

申请日：2014-10-14

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Anuradha Bhamidipaty ,  Winnie Wing-Yee Cheng ,  Aliza R. Heching ,  Anshu N. Jain ,  Jia Liu ,  James R. Moulic ,  Daniela Rosu ,  Mithkal M. Smadi ,  Srikanth G. Tamilselvam

IPC: G06F11/07 ,  G06F3/0484

CPC classification number: G06F11/079 ,  G06F3/04842 ,  G06F3/04847 ,  G06F11/0751 ,  G06N5/00 ,  H04L41/0631 ,  H04L41/069 ,  H04L41/5074

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. A pattern of actions included in interactions with a computer program is determined to be effective at proactively preventing a problem in the IT environment based on a frequency at which user(s) performed the interactions which perform text and statistical analyses of content of historical problem tickets. A script based on the pattern of actions is generated. A root cause of the problem is determined based on the text and statistical analyses. Responsive to a receipt of a new problem ticket, the script is executed to automatically perform the pattern of actions. The new problem ticket is classified as being in a group of problem tickets which are related to the problem and included in the historical problem tickets. The new problem ticket is determined to specify the problem which has the root cause.

Abstract translation: 介绍了一种在信息技术（IT）环境中识别相关问题单的方法。 确定包含在与计算机程序的交互中的动作模式是有效的，以主动地防止IT环境中的问题基于用户执行对历史问题票的内容进行文本和统计分析的交互的频率 。 生成基于动作模式的脚本。 根据文本和统计分析确定问题的根本原因。 响应于收到新的问题单，执行脚本以自动执行动作模式。 新的问题单分类为与问题有关的一组问题票，并列入历史问题票。 确定新的问题单以指定具有根本原因的问题。