Personalized Learning Recommendation Service Based On Big Data

With the rapid development of information technology,the Internet and education are gradually integrated,education information technology has become the trend of the development of the current era.The rational use of information technology to traditional education in terms of time and space.The big data and internet plus education to speed up the pace of information technology education,by using the thought of big data processing massive educational data,and found existing in the education of some relations,rules,the realization of “ teaching students in accordance with their aptitude,personality development.”“Mobile autonomous school”[1].Learning platform records a large number of structured,semi-structured and unstructured learning information.Learning education information platform is the basic algorithm of data processing students learning objective,learning the ways of formation of the student's characteristics and learning path,so as to determine the learning style of students and the learning effect of student evaluation,the science teacher's teaching and student's learning provide some suggestions.“Homework help”,“Yuan ti ku”,such as the emergence of a large number of network education resources,to provide students with more education and learning resources.Students can enrich their knowledge and improve their abilities by using these resources.However,it will take a lot time to find the educational resources,which will result in the phenomenon of“information overload”.This paper uses ontology technology and big data basic algorithm in-depth study for the development of education information,the main research contents are as follows.? By using the characteristics of ontology,objectivity and extensibility to constructeducational resources,and also to construct the students' users.? A large number of student data are recorded by learning platform based on ontology.Through the analysis of the data mining tools,some rules will have a positive impact on teaching.In this paper,through the combination of C4.5 algorithm and association rules,the C4.5 decision tree nodes on the association rules,so as to determine the strong association we need.Finally,an example is used to verify that the algorithm has a positive effect on teaching.? By constructing the conceptual ontology tree to acquire the information of the students' learning characteristics,and construct the resource concept ontology tree to facilitate the search of similar resources and to carry out the resource retrieval.In this paper,the characteristics of the hierarchical structure according to the students' learning characteristics of education resource demand information and education resource ontology based personalized recommendation algorithm,and test data to determine student ontology tree and resources of the tree in each feature weights of similarity matching.? Based on the above theory,developed the personalized recommendation system error.