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Introduction

Recommender systems have become an essential tool in various domains such as e-commerce, social media, and entertainment. However, one area that has recently started utilizing recommender systems is job recruiting. With the increasing volume of job seekers and job postings, it has become challenging for both employers and job seekers to find the right match. Recommender systems can help by providing personalized recommendations based on the user’s preferences and requirements.

This thesis aims to delve into the application of recommender systems in job recruiting. The following chapters will provide a comprehensive overview of the background of the study, the problem statement, the objectives, limitations, scope, significance, and the structure of the thesis. Additionally, definitions of key terms related to the study will be provided.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Recommender Systems
2.2 Recommender Systems in Job Recruiting
2.3 Types of Recommender Systems
2.4 Challenges in Job Recruiting
2.5 Previous Studies on Job Recruiting
2.6 Impact of Recommender Systems
2.7 User Preferences in Job Recruiting
2.8 Evaluation Metrics for Recommender Systems
2.9 Personalization in Job Recommendations
2.10 Ethical Considerations in Recommender Systems

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection
3.3 Data Preprocessing
3.4 Algorithm Selection
3.5 Evaluation Method
3.6 Experimental Setup
3.7 Data Analysis Techniques
3.8 Validation Process

Chapter 4: Discussion of Findings
4.1 Performance Evaluation of Recommender Systems
4.2 Comparison with Traditional Methods
4.3 User Feedback Analysis
4.4 Impact on Recruitment Process
4.5 Recommendations for Improvement
4.6 Future Research Directions
4.7 Limitations of the Study
4.8 Implications for Practice

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Contributions to the Field
5.3 Practical Implications
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview

Recommender systems have revolutionized the way recommendations are made in various domains, including job recruiting. This thesis explores the application of recommender systems in job recruiting and aims to provide insights into how these systems can enhance the recruitment process for both job seekers and employers.

In the literature review chapter, the study provides an overview of recommender systems, discusses their impact on job recruiting, and explores various types of recommender systems. The chapter also delves into the challenges in job recruiting, previous studies on the topic, and ethical considerations related to recommender systems.

The research methodology chapter outlines the research design, data collection, preprocessing, algorithm selection, evaluation method, experimental setup, data analysis techniques, and validation process. The chapter provides a comprehensive overview of the methods used to conduct the study and analyze the findings.

The discussion of findings chapter presents the performance evaluation of recommender systems, comparisons with traditional methods, user feedback analysis, and the impact of recommender systems on the recruitment process. The chapter also offers recommendations for improvement, future research directions, limitations of the study, and implications for practice.

In the conclusion and summary chapter, the study summarizes the key findings, discusses the contributions to the field, practical implications, and recommendations for future research. The chapter concludes by highlighting the significance of the study and the implications of the findings for the field of job recruiting.

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