Reserach On Electronic Homework Management Technology Based On Checking And Knowledge Recommendation

Compared with traditional paper job management,the electronic job management system saves a lot of energy and time for college teachers with its good efficiency and the working carrier of electronic documents.The electronic job management system can not only avoid the impact on the whole due to the lag of individual progress,but also classify the work hierarchically in chronological order.However,the collection of electronic work will reduce the deterrent effect of teachers on students,and the plagiarism of work is serious.In order to solve this problem,this paper designs an electronic job management system based on cheating detection,and detects the plagiarism of the work while enjoying the convenience of the electronic system.This paper proposes a text similarity detection algorithm based on FDTW distance and FCMDD clustering.Firstly,the FDTW distance is selected as the calculation standard of clustering distance,and it is brought into the FCMDD clustering method.The FCMDD-FDTW fast fuzzy clustering algorithm is obtained,and the jobs are clustered according to time series features.On the basis of this,the operation part is extracted,the Chinese word segmentation operation is performed,and then the similarity calculation is performed on the text segmentation,and the similarity calculation results of the two jobs are obtained.The experimental results show that the proposed algorithm has good time efficiency and high recognition accuracy.In this paper,the IRS parameters are improved,and the deep learning model-restricted Boltzmann machine is combined with the Mahout collaborative filtering recommendation algorithm.The students'test scores,learning participation and knowledge point matching degree are fully considered,and the learning knowledge points are recommended for the students' individual situations.The system design mainly adopts ASP.NET technology and uses C#programming language to complete.Use Visual Studio 2012 to write software code and use SQL Server 2005 to build a database.It has the characteristics of simple operation,comprehensive functions and convenient use.Finally,the function of the system was tested and analyzed,and the expected goal was basically achieved.