Research on Recommendation of Big Data for Higher Education Based on Deep Learning

Abstract

To improve the recommendation accuracy of educational resources, an intelligent recommendation method based on autoencoder has been proposed by combining intelligent recommendation algorithm and autoencoder. The method uses the dimension reduction advantage of autoencoder to obtain the required feature vector. Then, the prediction score is utilized to recommend educational resources. Finally, it is verified from the algorithmic and system perspective. The results show that this recommendation method is the most efficient method. The efficiency on the dataset is 0.90, respectively. Furthermore, it can score different recommended articles, and the recommendation of different educational resources is realized.

A Study on the High Quality Development Path of Building Smart Community in Chinese Cities in the Context of Digital Economy - A Case Study of Haishu District, Ningbo City

“…Second, it lacks the operability in top-level design. The biggest barrier to resource integration in the process of creating "Smart Community" remains "information silos", notwithstanding all improvements [16]. Computer programs are known as "information silos" are not functionally interconnected to one another, do not share or exchange information, and are not connected in terms of information and business processes and applications [14].…”

“…In particular, older people are less likely to use cell phones and watch more television, so they can actively rely on new media such as WeChat and TikTok to promote publicity matters while still relying on traditional media such as television to support the development of "Smart Community". To create a radiation effect, we should especially focus on promoting young organizations [16]. In order to help community members comprehend and utilize the intelligent systems of "Smart Community" and to improve people's adaptability and sense of recognition in the use of smart products, it can also widely carry out the rising popularity of knowledge related to the construction of smart communities through concept propaganda and real-life experience.…”