recommender-systems-project

The goal of the project was to create a recommendation system that, for hotel booking data, would be more effective than Amazon's recommender (HR@10 evaluation).

Preparing your computer

1. Install Anaconda with Python 3.8.

2. Install Git.

3. Install PyCharm (community version).

4. Clone the repo.

$ git clone [email protected]:korzepadawid/recommender-systems-proj.git && cd recommender-systems-proj

5. Create a Conda environment.

 $ conda env create --name rs-class-proj-env -f environment.yml

6. Activate the virtual environment, you've just created.

$ conda activate rs-class-proj-env

7. Run the notebook.

$ jupyter notebook

The used dependecies.

• NumPy
• Pandas
• scitkitlearn
• hyperopt

The results.

Model	Result HR@10
Linear Regression	0.244399
SVR	0.242702
Ridge Regression	0.23184
Amazon Recommender	0.222335