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This project implements a basic book recommendation system that suggests similar books based on a given book title. The system utilizes TF-IDF (Term Frequency-Inverse Document Frequency) and cosine similarity to analyze and rank the most similar books in the dataset.
Features
Data Analysis:
Visualizes the distribution of average ratings using histograms.
Displays the most popular authors through bar charts (currently commented out for simplicity).
Recommendation System:
Provides book recommendations based on the cosine similarity of books' content (title and author combined).
Interactive Visualization:
Leverages Plotly for interactive data visualizations, with sections commented out to maintain simplicity.
Visualizations
Two interactive visualizations can be enabled by uncommenting the respective sections in the code:
Histogram of Average Ratings: Displays the distribution of book ratings.
Bar Chart of Top Authors: Shows the top 10 authors with the most books in the dataset.
Book Recommendation System
This project implements a basic book recommendation system that suggests similar books based on a given book title. The system utilizes TF-IDF (Term Frequency-Inverse Document Frequency) and cosine similarity to analyze and rank the most similar books in the dataset.
Features
Data Analysis:
Recommendation System:
Interactive Visualization:
Visualizations
Two interactive visualizations can be enabled by uncommenting the respective sections in the code: