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Big data technology is used to integrate, clean up and analyze the data of student management system, educational administration system, and campus card consumption system and so on in this paper. The characteristics of high risk students are extracted and selected, and the prediction model is constructed, which can be used to predict the high risk students scientifically, reasonably and effectively,...
In recent years, the development of smart phones, Internet of things and cloud computing provides massive data for the study of education big data. However, the current research on education big data is not enough, as the data is small, the processing method is simple and the scope of application is narrow. In this paper, big data technology is adopted and the massive data of multiple data sources...
Sparsity is one of the challenges in recommendation technologies. Traditional collaborative filtering usually evaluates user similarity based on intersection of users' rating items, and it can not acquire accurate recommendation results when user rating data are extremely sparse. In order to eliminate the limitation above, a novel collaborative filtering algorithm based on domain ontology is presented:...
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