On the Innovative Work and Development of Library Reader Service in the Era of Artificial Intelligence

Abstract

With the continuous development of science and technology, the automated management of libraries has been continuously improved in order to better serve readers and improve the work efficiency of library managers. This paper mainly discusses the innovative path of library automation in the new era of artificial intelligence. Combined with the development of our school's library in recent years, it is discussed to create a new situation of public library service for readers by creating an atmosphere, caring for disadvantaged groups, innovating reader activities, and expanding service content. According to the design idea and implementation process of the ant colony optimization neural network model, we propose a global search strategy - ant colony optimization algorithm - as the learning algorithm of the neural network model for library reader service evaluation.