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首页> 外文期刊>International journal of open source software & processes >Software for Feedback System Using Adaptive Categorization and Authenticated Recommendation
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Software for Feedback System Using Adaptive Categorization and Authenticated Recommendation

机译：自适应分类和认证推荐的反馈系统软件

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摘要

The authors propose a web-based adaptive categorization and authenticated recommendation system, based on teacher performance. Distinct layers of the proposed framework have been operated from many geographically distributed locations. The system contains multiple entry points such as a student attendance module, a teacher categorization module, and a teacher recommendation module, strictly accessed by the administrative authority of an academic organization. The student attendance module is required for achieving better results on the teacher categorization module, and the teacher recommendation module. The reliability factor has been incorporated for realizing the accuracy of the proposed system. The administration authorities communicate with the server to categorize and recommend teachers by using teachers' performance. The replication and re-allocation transparencies have been maintained throughout the servers. Lightweight system performance has been enhanced due to the incorporation of a paperless approach and has provided less data loss. A linear time complexity is achieved due to usage of cellular automata as a tool.
机译：作者提出了基于教师表现的基于Web的自适应分类和认证推荐系统。已从许多地理位置分散的位置操作了所提议框架的不同层。该系统包含多个入口点，例如学生出勤模块，教师分类模块和教师推荐模块，这些入口必须由学术组织的管理机构严格访问。需要学生出勤模块才能在教师分类模块和教师推荐模块上​​获得更好的结果。可靠性因素已被纳入以实现所提出系统的准确性。管理机构与服务器进行通信，以利用教师的表现对教师进行分类和推荐。复制和重新分配透明胶片已在整个服务器中维护。由于采用了无纸化方法，因此提高了轻型系统的性能，并减少了数据丢失。由于使用细胞自动机作为工具，因此可以实现线性时间复杂度。

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