Intelligent reminder technology of borrowing expiration in electronic library based on deep learning

Library, as an institution for collecting, sorting and collecting books and materials for people to read and reference, has spread all over major regions and universities. The "great circulation" of books makes the management mode of pure manual book number borrowing registration far from meeting people's borrowing needs. In order to realize the intelligent reminding of electronic library's borrowing expiration, this paper proposes the intelligent reminding technology of electronic library's borrowing expiration based on deep learning. The feature analysis model of edge template feature parameters of e-library borrowing information parameters is constructed, the structure of template feature parameters of e-library borrowing information parameters is reorganized by adopting feature space reorganization, personalized information fusion and feature map fusion processing of e-library borrowing information parameters are carried out by adopting multilevel semantic feature analysis method, and personalized feature extraction of e-library borrowing information parameters is realized by adopting shallow feature map combination control method. The extracted personalized features of electronic library borrowing information parameters are identified by deep learning algorithm, and a multi-level feature analysis model for intelligent reminding of electronic library borrowing expiration is constructed. Combined with the deep feature information distribution of electronic library borrowing information parameters, personalized intelligent reminding of electronic library borrowing expiration is carried out. The simulation results show that this method has a high level of intelligent reminding of electronic library's borrowing expiration, and the precision of intelligent reminding of electronic library's borrowing expiration is better, which improves the personalized fusion and automatic reminding ability of electronic library's borrowing information parameters.