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公开(公告)号:US11106741B2
公开(公告)日:2021-08-31
申请号:US16001884
申请日:2018-06-06
Applicant: salesforce.com, inc.
Inventor: Max Kleiman-Weiner , Andrew Richard Gallant , Jason Rastrick Briggs , Cogan Dwayne Culver , Kevin John Doyle , Thomas Michael DuBois , John Randolph Frank , Keith Michael Gabryelski , Andrew Wilson Haskell , David Zachary Maze , Geoffrey Ira Milstein , Emily Brooks Pavlini , Daniel Adam Roberts , Aaron Michael Taylor , Henry Forrest Leanna Wallace
IPC: G06F16/904 , G06N5/00 , G06F16/93 , G06F16/9535 , G06N20/00 , G06F16/901 , G06N5/02
Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.
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公开(公告)号:US11790009B2
公开(公告)日:2023-10-17
申请号:US17460613
申请日:2021-08-30
Applicant: salesforce.com, inc.
Inventor: Max Kleiman-Weiner , Andrew Richard Gallant , Jason Rastrick Briggs , Cogan Dwayne Culver , Kevin John Doyle , Thomas Michael DuBois , John Randolph Frank , Keith Michael Gabryelski , Andrew Wilson Haskell , David Zachary Maze , Geoffrey Ira Milstein , Emily Brooks Pavlini , Daniel Adam Roberts , Aaron Michael Taylor , Henry Forrest Leanna Wallace
IPC: G06F16/904 , G06N5/00 , G06F16/93 , G06F16/9535 , G06N5/022 , G06N20/00 , G06F16/901
CPC classification number: G06F16/904 , G06F16/9024 , G06F16/93 , G06F16/9535 , G06N5/00 , G06N5/022 , G06N20/00
Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.
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公开(公告)号:US20220058220A1
公开(公告)日:2022-02-24
申请号:US17460613
申请日:2021-08-30
Applicant: salesforce.com, inc.
Inventor: Max Kleiman-Weiner , Andrew Richard Gallant , Jason Rastrick Briggs , Cogan Dwayne Culver , Kevin John Doyle , Thomas Michael DuBois , John Randolph Frank , Keith Michael Gabryelski , Andrew Wilson Haskell , David Zachary Maze , Geoffrey Ira Milstein , Emily Brooks Pavlini , Daniel Adam Roberts , Aaron Michael Taylor , Henry Forrest Leanna Wallace
IPC: G06F16/904 , G06N5/00 , G06F16/93 , G06F16/901 , G06F16/9535 , G06N5/02
Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.
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公开(公告)号:US20200320111A1
公开(公告)日:2020-10-08
申请号:US16677785
申请日:2019-11-08
Applicant: salesforce.com, inc.
Inventor: Daniel Adam Roberts , Max Kleiman-Weiner , John Randolph Frank , Brian Andrew Olson , David Zachary Maze , Andrew Richard Gallant , Joshua Joseph Marco Belanich , Thomas Michael DuBois
IPC: G06F16/338 , G06F16/248 , G06F16/33 , G06F16/951 , G06F16/332 , G06F16/2457 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/93
Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.
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公开(公告)号:US11409777B2
公开(公告)日:2022-08-09
申请号:US16677785
申请日:2019-11-08
Applicant: salesforce.com, inc.
Inventor: Daniel Adam Roberts , Max Kleiman-Weiner , John Randolph Frank , Brian Andrew Olson , David Zachary Maze , Andrew Richard Gallant , Joshua Joseph Marco Belanich , Thomas Michael DuBois
IPC: G06F16/338 , G06F16/248 , G06F16/33 , G06F16/951 , G06F16/332 , G06F16/2457 , G06F16/903 , G06F16/9038 , G06F16/9032 , G06F16/93
Abstract: A user interface of an entity-centric knowledge discovery system presents an entity profile including a mix of structured and unstructured data relating to an entity. As a user refines the entity profile based on information gathered from various sources, the changing entity profile can be used as a substantially continuously updating query to search, retrieve, and rank new and pertinent information specifically relevant to the profiled entity. The platform described herein provide an active loop for refining an entity description and searching for additional information in which human input and machine-based algorithms can cooperate to more quickly build a comprehensive description of an entity of interest.
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