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公开(公告)号：US20220100768A1
公开(公告)日：2022-03-31
申请号：US17378615
申请日：2021-07-16
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Addo Wondo , Ahmed Saad , Geoff Sims , Penyo Atanasov , Shihab Hassan Hamid , Gaurav Awadhwal , Edison Rho , Gilmar Jose Alves de Souza, JR.
IPC分类号： G06F16/2457 , H04L29/08 , G06N20/00
摘要： Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.
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公开(公告)号：US20210406804A1
公开(公告)日：2021-12-30
申请号：US16914424
申请日：2020-06-28
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Shihab Hassan Hamid , Addo Wondo , Geoff Sims , Hao Ye , Gaurav Awadhwal , Penyo Atanasov , Ahmed Saad , Simon Hugo Robilliard , Alexander McCarthy , Sreeraj Arakkal
摘要： A collaboration platform for implicitly determining user collaborations in real time or near real time is disclosed. The collaboration platform monitors event records generated based on user interactions with various team-based tools/collaborative applications to generate collaboration scores that provide a real time picture of a user's interactions with other users, and a user's interactions with content/objects/projects in the tools/collaborative applications. The collaboration platform also monitors user interactions with specific sub-projects to determine at any given time the users actively involved in any given project or sub-project.
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公开(公告)号：US11720573B2
公开(公告)日：2023-08-08
申请号：US17378615
申请日：2021-07-16
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Addo Wondo , Ahmed Saad , Geoff Sims , Penyo Atanasov , Shihab Hassan Hamid , Gaurav Awadhwal , Edison Rho , Gilmar Jose Alves de Souza, Jr.
IPC分类号： G06F16/20 , G06F16/2457 , G06N20/00 , H04L67/5681 , G06F3/04842
CPC分类号： G06F16/24575 , G06N20/00 , H04L67/5681 , G06F3/04842
摘要： Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.
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公开(公告)号：US20210406715A1
公开(公告)日：2021-12-30
申请号：US16914043
申请日：2020-06-26
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Shihab Hassan Hamid , Addo Wondo , Neil Christopher Summers , Joshua Adam Hansen , Geoff Sims , Hao Ye , Gaurav Awadhwal , Penyo Atanasov , Ahmed Saad , Alexander McCarthy , Sreeraj Arakkal
IPC分类号： G06N5/04 , G06F16/903 , G06F16/9038 , G06N20/00 , G06F16/953
摘要： Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.
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公开(公告)号：US11080283B1
公开(公告)日：2021-08-03
申请号：US17037419
申请日：2020-09-29
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Addo Wondo , Ahmed Saad , Geoff Sims , Penyo Atanasov , Shihab Hassan Hamid , Gaurav Awadhwal , Edison Rho , Gilmar Jose Alves de Souza, Jr.
IPC分类号： G06F16/20 , G06F16/2457 , H04L29/08 , G06N20/00 , G06F3/0484
摘要： Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.
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公开(公告)号：US11900299B2
公开(公告)日：2024-02-13
申请号：US16914424
申请日：2020-06-28
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Shihab Hassan Hamid , Addo Wondo , Geoff Sims , Hao Ye , Gaurav Awadhwal , Penyo Atanasov , Ahmed Saad , Simon Hugo Robilliard , Alexander McCarthy , Sreeraj Arakkal
IPC分类号： G06Q10/0639 , G06Q10/10
CPC分类号： G06Q10/06398 , G06Q10/103
摘要： A collaboration platform for implicitly determining user collaborations in real time or near real time is disclosed. The collaboration platform monitors event records generated based on user interactions with various team-based tools/collaborative applications to generate collaboration scores that provide a real time picture of a user's interactions with other users, and a user's interactions with content/objects/projects in the tools/collaborative applications. The collaboration platform also monitors user interactions with specific sub-projects to determine at any given time the users actively involved in any given project or sub-project.
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公开(公告)号：US11574218B2
公开(公告)日：2023-02-07
申请号：US16914043
申请日：2020-06-26
申请人： Atlassian Pty Ltd. , Atlassian Inc.
发明人： Shihab Hassan Hamid , Addo Wondo , Neil Christopher Summers , Joshua Adam Hansen , Geoff Sims , Hao Ye , Gaurav Awadhwal , Penyo Atanasov , Ahmed Saad , Alexander McCarthy , Sreeraj Arakkal
IPC分类号： G06F17/00 , G06N5/04 , G06F16/9038 , G06F16/953 , G06N20/00 , G06F16/903
摘要： Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.
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公开(公告)号：US20230177365A1
公开(公告)日：2023-06-08
申请号：US18105720
申请日：2023-02-03
发明人： Shihab Hassan Hamid , Addo Wondo , Neil Christopher Summers , Joshua Adam Hansen , Geoff Sims , Hao Ye , Gaurav Awadhwai , Penyo Atanasov , Ahmed Saad , Alexander McCarthy , Sreeraj Arallao
IPC分类号： G06N5/04 , G06F16/9038 , G06F16/953 , G06N20/00 , G06F16/903
CPC分类号： G06N5/04 , G06F16/9038 , G06F16/953 , G06N20/00 , G06F16/90344
摘要： Methods and systems for intelligently recommending selections for a selector control are disclosed. The method includes receiving a recommendation request from a selector control client, the recommendation request comprising a search string and a unique identifier of a user interacting with a selector control; identifying user identifiers of usernames matching the search string; retrieving machine learning features corresponding to the user identifiers of usernames matching the search string; applying a machine learning model to the retrieved machine learning features to assign weights to the retrieved machine learning features; computing recommendation scores for the user identifiers based on the assigned weights to the retrieved machine learning features; ranking the user identifiers based on the recommendation scores; and forwarding a ranked list of user identifiers to the selector control client for displaying in the selector control for selection by the user interacting with the selector control.
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