Abstract
Abstract At present, many students choose to take distance continuing education to improve their quality of education, and most of the universities and colleges of continuing education take remote management. Therefore, the purpose of informatization management is to improve the knowledge level of continuing education. In this paper, we use a collaborative recommendation model to combine the information of adult education data content and data attributes and apply a convolutional neural network to feature recognition of data text to form a deep adult education information push model. Similarity calculation is added to achieve rating prediction. Meanwhile, the BP network structure is carried out to construct the evaluation index model of adult education information management, and the application results of the model are jointly evaluated through the combination of simulation experiments and example analysis. Data information analysis of national key adult education schools, the number of samples is 0-200. At this time, the proportion of teachers in the senior class is between 0.3 and 0.8, which is in line with the standard. Using user satisfaction, the similarity of the model’s recommendation of adult education courses was evaluated, and the mean value of the recommendation evaluation of the most relevant resources was 4.05 points, and most users were satisfied with the courses recommended by the model.
Published Version
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