Abstract
With the rapid development of library informatization level, traditional text information retrieval service methods have been difficult to meet the needs of users. Therefore, personalized assisted reading technology attracted wider attention, which can discover hidden associations by mining user information, book information, and user operation logs, and recommend the acquired knowledge to users. In order to improve the service quality and experiences of users, this paper presents a digital library assisted reading system that combines text image features and edge computing. Firstly, the digital library reading assistance system framework is proposed based on edge computing technology, which will improve the service quality and information transmission level of the digital library. And the auxiliary reading model of the digital library is presented based on text image features and RBF neural network. Detailed simulation results verify the applicability and efficiency of the proposed scheme.
Highlights
Since the 1990s, computer, network and communication technologies have developed rapidly [1]
The United States is the first country in the world to start research, development and construction of digital libraries, and it is the country with the highest level of digital library construction and the widest range of applications in the world [3,4]
In September 1993, the National Science Foundation, the National Aeronautics and Space Administration and the Advanced Research Center Program Agency of the United States Department of Defense jointly issued the "Digital Library Initiative", which kicked off the comprehensive construction of digital libraries in the United States [5]
Summary
Since the 1990s, computer, network and communication technologies have developed rapidly [1]. The development of personalized information services can help teachers and students obtain accurate information for teaching and scientific research It promotes the development of libraries and information service industry, is an effective way to improve the network information environment, and at the same time points out the direction for the development of information service industry [8,9]. This article uses edge computing technology to construct a digital library reading assistance system This framework will improve the service quality and information transmission level of digital libraries. An auxiliary reading model of the digital library is established through text image features and RBF neural network algorithm This model will provide a certain reference and reference for the research of auxiliary reading system in digital library.
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