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公开(公告)号:US20220084527A1
公开(公告)日:2022-03-17
申请号:US17023667
申请日:2020-09-17
Applicant: International Business Machines Corporation
Inventor: Zachary A. Silverstein , Tiberiu Suto , Jonathan D. Dunne , Martin G. Keen
Abstract: At least one target in a speech of a first speaker during an electronic conference is identified. A closest vector between the identified target and a group of possible matches for the target is determined. A most similar match for the identified target is determined based on a current usage context for the identified target, a history of stored information associated with the first speaker and the identified target, and the determined closest vector. The most similar match to a set of participants of the electronic conference is displayed.
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公开(公告)号:US20210304140A1
公开(公告)日:2021-09-30
申请号:US17131773
申请日:2020-12-23
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Lisa Seacat Deluca , Jonathan D. Dunne
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.
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公开(公告)号:US20210304138A1
公开(公告)日:2021-09-30
申请号:US16831653
申请日:2020-03-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Lisa Seacat Deluca , Jonathan D. Dunne
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.
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公开(公告)号:US20210173886A1
公开(公告)日:2021-06-10
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 , G06F40/174 , G06F40/186
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.
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公开(公告)号:US20210110286A1
公开(公告)日:2021-04-15
申请号:US16600606
申请日:2019-10-14
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Trudy L. Hewitt , Kelley Anders , Steven Edward Atkin , Jonathan D. Dunne
Abstract: 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.
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公开(公告)号:US20210015404A1
公开(公告)日:2021-01-21
申请号:US16511894
申请日:2019-07-15
Applicant: International Business Machines Corporation
Inventor: Raphael I. Arar , Chris Kau , Jonathan D. Dunne
Abstract: One embodiment of the present invention provides a method comprising running a monitoring agent on a connected electronic device, and determining, via the monitoring agent, a level of hearing impairment of an individual user associated with the connected electronic device. The method further comprises, in response to determining the individual user has some level of hearing impairment, selecting a notification mechanism suitable for notifying the individual user based on the level of hearing impairment, and invoking the monitoring agent to notify the individual user of an event in accordance with the notification mechanism selected.
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公开(公告)号:US20240427982A1
公开(公告)日:2024-12-26
申请号:US18339275
申请日:2023-06-22
Applicant: International Business Machines Corporation
Inventor: Qi Li , Jonathan D. Dunne
IPC: G06F40/166 , G06F40/279 , G06Q10/101
Abstract: A method, computer program product, and computer system are provided for evaluating quality of changes to a collaborative document. Data corresponding to text, metadata, and comments associated with a document is received based on detecting a change to the document. The received data is analyzed based on term frequency, collocations including bigrams and trigrams, and colligates associated with the document. The analyzed data is compared to a corpus of documents from a domain associated with the document. A list of frequencies and collocates associated with the data is generated based on the comparison. An agreement score corresponding to agreement between comments, metadata, and document text is calculated based on the list of frequencies and collocates. The change to the document is caused to be displayed to a user based on the calculated agreement score.
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公开(公告)号:US20240420688A1
公开(公告)日:2024-12-19
申请号:US18333573
申请日:2023-06-13
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Irene Lizeth Manotas Gutiérrez , Ra’eesa Kabir , Jonathan D. Dunne
Abstract: According to one embodiment, a method, computer system, and computer program product for human-machine interfacing is provided. The present invention may include receiving a personality corpus associated with a personality typology comprising multiple personality types; extracting a plurality of utterances from a user; selecting, by a personality model, a personality type associated with the user based on the utterances and the personality corpus; identifying a compatible personality type of the selected personality type; constructing one or more natural language scripts from a word graph associated with the compatible personality type; and transmitting the one or more natural language scripts to the user.
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公开(公告)号:US12046245B2
公开(公告)日:2024-07-23
申请号:US17023667
申请日:2020-09-17
Applicant: International Business Machines Corporation
Inventor: Zachary A. Silverstein , Tiberiu Suto , Jonathan D. Dunne , Martin G. Keen
IPC: G10L17/06 , G06F40/279 , G06Q10/105 , G06Q30/018 , G06Q50/26 , G10L15/26 , H04L65/1083 , H04L65/403
CPC classification number: G10L17/06 , G06F40/279 , G06Q10/105 , G06Q30/0185 , G06Q50/265 , G10L15/26 , H04L65/1083 , H04L65/403
Abstract: At least one target in a speech of a first speaker during an electronic conference is identified. A closest vector between the identified target and a group of possible matches for the target is determined. A most similar match for the identified target is determined based on a current usage context for the identified target, a history of stored information associated with the first speaker and the identified target, and the determined closest vector. The most similar match to a set of participants of the electronic conference is displayed.
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公开(公告)号:US12020208B1
公开(公告)日:2024-06-25
申请号:US18207991
申请日:2023-06-09
Applicant: International Business Machines Corporation
Inventor: Qi Li , Jonathan D. Dunne
IPC: H04L41/14 , G06Q10/101 , H04L67/10
CPC classification number: G06Q10/101 , H04L41/145 , H04L67/10
Abstract: Using data of a plurality of interactions within a collaborative network, a collaborative network graph is constructed. Each node in the collaborative network graph represents a participant in an interaction, and each edge in the collaborative network graph represents an interaction between participants represented by corresponding nodes. Using a plurality of stochastic simulations of changes to the collaborative network graph, integration of a new node into the collaborative network is simulated. A simulation in the plurality of stochastic simulations producing a largest score improvement between scores computed on the collaborative network graph is selected as a best simulation. Using a plurality of changes to the collaborative network graph included in the best simulation, an integration recommendation is constructed, in which a portion of the integration recommendation corresponds to a change in the plurality of changes.
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