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

Chapter 2: Literature Review
2.1 Overview of E-commerce Platforms
2.2 Recommendation Systems in E-commerce
2.3 Existing E-commerce Platforms with Recommendation Systems
2.4 Challenges and Opportunities in E-commerce Platforms with Recommendation Systems

Chapter 3: System Design
3.1 System Architecture
3.2 Data Collection and Processing
3.3 Recommendation Algorithm
3.4 User Interface Design

Chapter 4: Implementation
4.1 Platform Development
4.2 Integration of Recommendation System
4.3 Testing and Evaluation
4.4 Deployment

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 “Design and Implementation of an E-commerce Platform with Recommendation System” aims to explore the integration of recommendation systems in e-commerce platforms to enhance user experience and increase customer engagement. The project focuses on developing a personalized recommendation system that predicts user preferences based on their browsing history and past purchases.

The project begins with a comprehensive literature review on e-commerce platforms and recommendation systems, highlighting the importance of personalized recommendations in improving customer satisfaction and increasing sales. The system design chapter outlines the architecture of the platform, the data collection and processing methods, the recommendation algorithm, and the user interface design.

The implementation chapter details the development process of the e-commerce platform with the integrated recommendation system, including testing and evaluation to ensure the system’s performance and accuracy. The project concludes with a summary of findings, a discussion of the implications of the research, and recommendations for future research in the field.

Overall, the project aims to contribute to the existing body of knowledge on e-commerce platforms and recommendation systems, providing insights into the design and implementation of personalized recommendation systems to enhance the user experience and drive business growth in the e-commerce industry.

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