Dataset

        Download the dataset on Kaggle - Book Recommendation Dataset

Dataset Info

        There are several csv on that dataset:

1. Book's lists dataset
2. Book's users dataset
3. Book's Ratings dataset

        Total of the dataset if you merge them is 1.149.780 rows and 12 columns but there are also several missing values and several duplicate book's title, therefore I handle it by remove them and I got 205.170 rows and 12 columns but In this case I only used 10.000 dataset because my computer can not handle more dataset, but you can used dataset as much as you want.

How to use REST API for Book's Recommendation System

1. download the clean books dataset on books_data.csv
2. download cosine similarity on cosine_similarity.csv
3. download requirements.txt with pip install -r requirements.txt
4. run python3 app.py
5. Test on your postman with method POST and endpoint /books_recommendations
6. Use key on your body as book_title and type your favorite's book title as value

You will get this result