Thesis Abstract

Abstract
This study explores the application of artificial intelligence (AI) to enhance personalized recommendations in library services. The aim is to leverage AI technologies to provide tailored recommendations to library users, thereby improving their satisfaction and engagement with library resources. The research methodology involves a comprehensive literature review to examine existing AI techniques and their potential for enhancing personalized recommendations in library settings. Additionally, a mixed-methods approach will be employed to gather data on user preferences and feedback on the AI-powered recommendation system. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two comprises a detailed literature review that explores ten key concepts related to AI, personalized recommendations, and library services. The review aims to provide a theoretical foundation for the research and identify gaps in the existing literature. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling strategy, data analysis techniques, and ethical considerations. The chapter also discusses the development and implementation of the AI-powered recommendation system in a library setting, highlighting the steps taken to ensure its accuracy and relevance to users. Chapter Four presents a comprehensive discussion of the findings obtained from the study, including user feedback on the personalized recommendation system and its impact on library services. The chapter analyzes the effectiveness of the AI technology in providing personalized recommendations and explores potential challenges and limitations encountered during the implementation process. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications for library services, and offering recommendations for future research and practical applications. The study contributes to the growing body of literature on AI applications in libraries and provides valuable insights into the potential benefits of using AI for personalized recommendations. Ultimately, the research aims to enhance user experiences and engagement with library resources through innovative AI solutions.

Thesis Overview