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This project forked from vikasdo/book-recommendation-analysis

0.0 0.0 0.0 52.84 MB

License: MIT License

Python 99.55% HTML 0.20% CSS 0.03% Mako 0.01% PowerShell 0.15% Shell 0.06% JavaScript 0.01% Roff 0.01%

book-recommendation-analysis's Introduction

logo

Theme approach

Now a days due to the Growth of Technology Everyone is able to make Buy items online and The Ecommerce Industry is expected to rise in Coming Years .So for this we need a Efficient Ecommerce Recommendation system Where it Suggests Recommendation to users . But In Our Project We Try To recommend the Items to Authors,Publishers and Retailers in such a way so that They will get a personalized Feed back from user reviews. Retailers Can also analyze the Top Trending Books and Focus on them in Personalization for users and send them Exciting Offers which can convert or make user to purchase and We show the Heat map Of users And Give Recommendation based On Demographic Features Also. So In this Way the Retailer gets more profit By Understanding the customer and focusing on their purchase pattern

Document

Link to docs

Google Colab Links

https://colab.research.google.com/drive/1W3bnFPMFdxa1ExdYQxuYv43k5QzFrG10 https://colab.research.google.com/drive/18xQP5b_7MjMGtxNl-2XgHtH589J69B-K

Demo Video

Click Here

To Setup

 1. Actvate virtual environment
git lfs clone url 
python -m venv env
env\Scripts\activate

pip install -r requirements.txt
python main.py

To run

Activate 
source env/bin/activate
python main.py

Db Migrate

python manager.py db init
python manager.py db migrate
python manager.py db upgrade

Website Demo

CUSTOMER SITE

RETAILER SITE

Contribution Guidelines🏗

Are we missing any of your favorite features, which you think you can add to it❓ We invite you to contribute to this project and improve it further

To start contributing, follow the below guidelines:

1. Fork this repository.

2. Clone your forked copy of the project.

git clone https://github.com/<your_user_name>/Book-Recommendation-Analysis.git

3. Navigate to the project directory 📁 .

cd Book-Recommendation-Analysis

4. Add a reference(remote) to the original repository.

git remote add upstream https://github.com/vikasdo/Book-Recommendation-Analysis.git

5. Check the remotes for this repository.

git remote -v

6. Always take a pull from the upstream repository to your master branch to keep it at par with the main project(updated repository).

git pull upstream main

7. Create a new branch.

git checkout -b <your_branch_name>

8. Perform your desired changes to the code base.

9. Track your changes:heavy_check_mark: .

git add . 

10. Commit your changes .

git commit -m "Relevant message"

11. Push the committed changes in your feature branch to your remote repo.

git push -u origin <your_branch_name>

12. To create a pull request, click on compare and pull requests. Please ensure you compare your feature branch to the desired branch of the repo you are suppose to make a PR to.

13. Add appropriate title and description to your pull request explaining your changes and efforts done.

14. Click on Create Pull Request.

The geek🤓 behind this initiative:


Vikas

book-recommendation-analysis's People

Contributors

aayush-hub avatar akshay6890 avatar subhangini avatar vamsimudaliar avatar vikasdo avatar

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