Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Objective of Study
1.4 Limitation of Study
1.5 Scope of Study

Chapter 2: Literature Review
2.1 Overview of E-commerce Platforms
2.2 Importance of Recommendation Systems in E-commerce
2.3 Previous Studies on E-commerce Platforms with Recommendation Systems
2.4 Theoretical Framework

Chapter 3: System Design
3.1 Architecture of the E-commerce Platform
3.2 Design of the Recommendation System
3.3 User Interface Design
3.4 Database Design

Chapter 4: Implementation
4.1 Development of the E-commerce Platform
4.2 Integration of the Recommendation System
4.3 Testing and Evaluation
4.4 Challenges and Solutions

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research

Project Summary

The final year project thesis titled “Building an E-commerce Platform with Recommendation System” aims to develop a comprehensive e-commerce platform that incorporates a recommendation system to enhance user experience and increase sales. The project focuses on designing and implementing a user-friendly and personalized shopping experience for customers.

The project begins with an introduction that provides background information on e-commerce platforms and the importance of recommendation systems in improving user engagement and conversion rates. The objectives of the study include designing a reliable and efficient recommendation system, addressing specific limitations, and defining the scope of the project.

The literature review examines existing research on e-commerce platforms with recommendation systems, highlighting their benefits and challenges. The theoretical framework provides a conceptual foundation for understanding the design and implementation of the e-commerce platform.

The system design chapter outlines the architecture of the e-commerce platform, the design of the recommendation system, user interface design, and database design. The implementation chapter details the development process, integration of the recommendation system, testing, evaluation, and solutions to challenges encountered.

In the conclusion and summary chapter, the findings of the study are summarized, conclusions are drawn, and recommendations for future research are provided. Overall, the project aims to contribute to the field of e-commerce by creating a robust platform that offers personalized recommendations to users, ultimately improving user satisfaction and boosting sales.

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