@@ -82,7 +82,7 @@ This folder contains all the data, jupyter notebook, scripts python used to impr
## Content Based and Hackathon
1. ### ***hackathon_make_predictions.ipynb***
1. ####***hackathon_make_predictions.ipynb***
Define a function make_hackathon_prediction that takes feature_method and regressor_method as input.
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@@ -134,7 +134,6 @@ The system supports the following regression models for predicting user ratings:
- A reduced version of the small dataset for debugging purposes.
# Web Page - Overview
Our web page serves as the user interface for the Recommender System. It allows users to interact with the recommendation models & view recommended items. It was built in backend powered by Flask (Python) to handle requests and serve recommendations.
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@@ -162,7 +161,7 @@ The `recommender.py` file stores the different recommendation systems used for t
The `sitehtml` folder contains an automatically generated `.html` file for each movie, enhancing the user experience when using our web app.
# Utils file and .streamlit folder
# utils file and .streamlit folder
The `.streamlit` folder and the `utils.py` file allow the configuration of the Streamlit application.
