An Empirical Study on the Deep Learning Model for Foreign Language Academic Books Acquisition from the Perspective of Evidence-Based Librarianship

Abstract

Abstract:

This research introduces the concept of evidence-based librarianship to construct an evidence centered decision-making indicator model for foreign language academic book acquisition in public libraries. This research takes Shanghai Library as a case study explores the application of fully connectedneural network technology in the decision-making model of foreign language book selection reveals the key indicators affecting the acquisition work predicts the potential value of books and provides a new perspective for the construction of foreign language collection in the era of smart libraries. The proposed approach can effectively assist librarians to make more scientific decisions and promote the quality oflibrary collection and provide a new perspective and method for the intelligent development of foreign language academic books in public libraries.

Key words:

Public libraries, Foreign language book acquisition, Evidence-based librarianship, Deeplearning, Intelligent library

Tang Ni. An Empirical Study on the Deep Learning Model for Foreign Language Academic Books Acquisition from the Perspective of Evidence-Based Librarianship[J]. Libraly Journal, 2025, 45(417): 40-48.

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