A Study on the Issues Related to Building a Library Information System Based on Deep Learning
Ju Hyung Kim, Jung Hee Lee, Kyoung Jin Lee · 2021
High-performance information systems are essential for libraries to carry out their work efficiently. Recently, a digital library environment has been created that allows electronic resources such as e-books, e-journal, and the Web to be linked to SNS, smartphones and tablet PCs. The environment available anytime and anywhere has increased the use of digital libraries, and the amount and scope of information search has also increased or expanded dramatically. These changes call for improved accuracy in the search for internal or external information in the library information system. This study designs library information retrieval system from the perspective of QA system, and builds a model based on text data. Through this, finally, we present a study comparing performance with various algorithms based on perplexity.