AI-Powered Recommendation Systems and Resource Discovery for Library Management

Author:

Sivasankari R.1ORCID,Suriya S.1ORCID,Sindhu S.1ORCID,Shyamala Devi J.1ORCID,Dhilipan J.1

Affiliation:

1. SRM Institute of Science and Technology, India

Abstract

Libraries face the difficulty of maintaining huge volumes of information while offering users effective resource discovery in the fast-expanding digital world. The incorporation of artificial intelligence (AI) has emerged as a significant change in library administration. This chapter explores the use of AI, with an emphasis on recommendation systems and knowledge discovery. AI-powered recommendation systems provide personalized ideas, increasing user engagement and making content research easier. AI-powered resource discovery technologies extract important insights from enormous collections, assisting in trend analysis and resource summaries. The collaboration of these AI-powered technologies transforms the library experience, making it more user-centric, efficient, and enriching. This chapter demonstrates how AI-powered recommendation systems and resource discovery may convert libraries into dynamic, responsive organizations at the forefront of information distribution.

Publisher

IGI Global

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