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Simple Recommender System built using the Scikit Surprise Library. The application provides recommendations based on Amazon Products Reviews.
Python 36.91%
Jupyter Notebook 63.09%
product-recommender-streamlit's Introduction
Simple Recommender System Using Scikit Surprise
- Ensure you have Python v3.6 or later
- Install the required dependencies present in the
requirements.txt
- Download the Digital_Software_V1 Dataset
- Place the dataset
amazon_reviews_us_Digital_Software_v1_00.tsv
in the resources > dataset
directory
- Navigate inside the
recommenders
directory.
- Run the
svd_trainer.py
& knn_trainer.py
files to train the required Models. (This process will be improved later).
- The models should be present in the
resources > models
directory.
- Once the model has been generated, return to the root of the Project.
- Execute the following command to run the web application:
- The application should be accessible via the url
http://localhost:8501
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