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Introduction

Recommender systems have become an essential part of various online platforms, including online dating websites. These systems help users find potential matches by analyzing their preferences and behavior on the platform. With the increasing popularity of online dating, there is a growing need to improve the effectiveness of recommender systems in this domain. This thesis aims to explore the role of recommender systems in online dating platforms and discuss how they can be enhanced to provide more accurate and personalized recommendations to users.

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 Evolution of online dating platforms
2.2 Role of recommender systems in online dating
2.3 Types of recommender systems used in online dating
2.4 Challenges in developing recommender systems for online dating
2.5 User preferences and behavior in online dating
2.6 Personalization in online dating recommendations
2.7 Ethical considerations in online dating recommender systems
2.8 Impact of recommender systems on user experience
2.9 Success stories of recommender systems in online dating
2.10 Future trends in online dating recommender systems

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Participant selection criteria
3.5 Survey and questionnaire design
3.6 Interview protocols
3.7 Ethical considerations
3.8 Pilot study

Chapter 4: Discussion of Findings
4.1 Analysis of user preferences and behavior
4.2 Evaluation of current recommender systems in online dating
4.3 Identification of challenges and limitations
4.4 Recommendations for improving recommender systems
4.5 Comparison of different approaches
4.6 Implications for the future of online dating platforms
4.7 Potential impact on user experience
4.8 Future research directions

Chapter 5: Conclusion and Summary
In conclusion, this thesis explores the role of recommender systems in online dating platforms and discusses how they can be enhanced to provide more accurate and personalized recommendations to users. By examining user preferences, behavior, and the challenges faced in developing recommender systems for online dating, this research aims to contribute to the improvement of online dating platforms. The findings and recommendations presented in this thesis can help developers and researchers enhance the effectiveness of recommender systems in online dating and improve the overall user experience.

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