公开(公告)号：US20200371823A1

公开(公告)日：2020-11-26

申请号：US16547052

申请日：2019-08-21

Applicant: Citrix Systems, Inc.

Inventor： Anuj Magazine ,  Praveen Raja Dhanabalan ,  Sankara Narayanan

IPC: G06F9/451 ,  G06F9/445 ,  G06F9/50

Abstract: Described embodiments provide systems and methods for hosted resource configuration, with intelligent personalization of a user's workspace experienced based on the user's available time. The system analyzes the user's schedule, location, and work habits, and prioritizes and maps tasks to available time slots, enabling the system to be more efficient, with less time identifying and selecting next tasks. The system may identify a period of time in which a user can perform a task associated with a hosted application; may identify at least one task associated with the hosted application, the at least one task including a duration within that of the identified period of time, and may provide, to a client device of the user, content of the hosted application based on the identified at least one task, the content enabling the user to accomplish the at least one task within the identified period of time.

公开(公告)号：US20200334698A1

公开(公告)日：2020-10-22

申请号：US16387055

申请日：2019-04-17

Applicant: Citrix Systems, Inc.

Inventor： Anuj Magazine ,  Praveen Raja Dhanabalan ,  Anudeep Athlur

IPC: G06Q30/02 ,  H04L29/08

Abstract: A machine learning system may monitor usage of network or hosted resources by users or employees, and may dynamically generate short or “micro” surveys for immediate presentation. These surveys may be aggregated and analyzed by the machine learning system, reducing delays of responses. As a result, engagement may be measured in real-time or near real-time, actionable insights generated, and responsive actions taken. The machine learning system may monitor various interactions of users or employees with a virtual or hosted environment or workspace, including connections to virtual machines, remote desktop applications, SaaS applications, web applications, or other such entities, as well as environmental characteristics such as network location and/or quality.