📚 Book Recommendation System

📝 Conference Level Research

📋 Project Overview

This research project focuses on developing a content-based book recommendation system that helps users discover new books based on their preferences. The system analyzes book titles and user input to provide personalized recommendations using advanced natural language processing techniques.

Research Methodology

The system employs a two-step approach to generate accurate recommendations:

TF-IDF Vectorization

Utilized Term Frequency-Inverse Document Frequency to extract meaningful features from book titles and descriptions

Cosine Similarity

Implemented cosine similarity to measure the similarity between user preferences and book features

👨‍💻 My Role

As the lead researcher, I was responsible for:

Conducting literature review on existing recommendation systems
Writing and drafting the research paper

🎤 Conference Presentation

I had the honor of presenting our research at the conference

Performance analysis and evaluation metrics
Comparison with existing recommendation approaches
Future improvements and potential applications