Citrix Systems has filed a patent for a system and method that recommends resources to users based on their expertise level. The system extracts project and keyword data from user interactions with workspace applications, evaluates the data to determine the user’s expertise level for a project, and suggests resources based on historical interactions of users with similar expertise levels. The resources can include tools, encountered problems and solutions, and expert-reported issues. The system aims to reduce the learning curve for users and provide relevant resources for their projects. GlobalData’s report on Citrix Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Citrix Systems, Network virtualization was a key innovation area identified from patents. Citrix Systems's grant share as of September 2023 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
A system for recommending resources based on user expertise
A recently filed patent (Publication Number: US20230316182A1) describes a system that suggests resources to users based on their expertise level and project requirements. The system includes a memory and a processor that extracts project and keyword data from user interactions with system applications. This data is then evaluated to determine the user's expertise level for a specific project. Based on this expertise level, the system determines a set of resources by analyzing the historical resource interactions of users with a similar expertise level. The system then outputs links to these resources for the user.
The set of resources suggested by the system includes useful applications, useful links, frequently asked questions, and training resources. The expertise level of the user can be categorized as novice, junior, intermediate, senior, or expert. The determination of expertise level is based on various factors, including the frequency with which keywords are utilized by the user for a specific project. If a threshold number of keywords are detected, the expertise level for the associated project is increased.
The system also provides an interface mechanism that allows users to manually select their expertise level. The links to the suggested resources are outputted to a virtual workspace on the user's client device. The interactions between the user and the system applications are authenticated through a single sign-on (SSO) process. The project and keyword data is periodically collected from the content stored by the system applications.
In summary, the patent describes a system and method for suggesting resources to users in a virtual workspace infrastructure. By analyzing user interactions and expertise levels, the system can provide personalized recommendations for useful applications, links, FAQs, and training resources. The system aims to enhance user productivity and efficiency by providing relevant resources based on their project requirements and expertise level.
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