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公开(公告)号:US20210258180A1
公开(公告)日:2021-08-19
申请号:US17187140
申请日:2021-02-26
IPC分类号: H04L12/18
摘要: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.
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公开(公告)号:US11489682B2
公开(公告)日:2022-11-01
申请号:US17187140
申请日:2021-02-26
IPC分类号: H04L12/18
摘要: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.
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公开(公告)号:US10938587B2
公开(公告)日:2021-03-02
申请号:US15361828
申请日:2016-11-28
IPC分类号: H04L12/18
摘要: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.
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公开(公告)号:US20180152487A1
公开(公告)日:2018-05-31
申请号:US15361828
申请日:2016-11-28
IPC分类号: H04L29/06 , H04L12/911
CPC分类号: H04L12/1818
摘要: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.
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