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bookreccomendtionsytem's Introduction

BookReccomendtionSytem

Overview

Three robust recommendation systems are used here:

Popularity Based: Discover trending and popular books. Content Based: Get recommendations based on the content you love. Collaborative Based: Dive into a world of recommendations from like-minded readers.

Getting Started

Prerequisites

Make sure you have the following installed:

Flask NumPy Pandas Gunicorn You can install these dependencies by running:

$ pip install -r requirements.txt

Data Source url : https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset

Usage

Clone the repo:
$ git clone https://github.com/your-username/BookRec.git
$ cd BookRec

Install dependencies:

$ pip install -r requirements.txt

Run the app:

$ gunicorn -w 4 -b 0.0.0.0:5000 app:app

Visit http://localhost:5000 in your browser and start exploring personalized book recommendations.

Models used

  • Popularity Based: Straight from the reading trends.
  • Content Based: Tailored recommendations based on your favorite genres.
  • Collaborative Based: Join the community and discover books loved by others with similar tastes.

bookreccomendtionsytem's People

Contributors

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