Project 2: Neural Networks Recommender

That project is a simple recommender based on data from hotels. Created for Recommender Systems Class conducted by @PiotrZiolo

Requirements:

1. Create (and activate) a new environment with Python 3.8 with conda.

   • Linux or Mac:

     conda create --name recommender python=3.8
     source activate recommender

   • Windows:

     conda create --name recommender python=3.8 
     activate recommender

2. Install jupyter notebook

   pip install notebook 

3. Install all needed packages

   pip install numpy pandas matplotlib seaborn ipython sklearn hyperopt

4. Start Jupyter Notebook

   • project_1_data_preparation.ipynb contains the process of preprocessing data
   • project_2_recommender_and_evaluation contains recommender

Algorithms used

* NeuMFModel
* AdamW Optimizer

	Recommender	HR@1	HR@3	HR@5	HR@10	NDCG@1	NDCG@3	NDCG@5	NDCG@10
0	NNRecommender	0.045146	0.121521	0.164291	0.227427	0.045146	0.088711	0.106581	0.126703
1	AmazonRecommender	0.044128	0.118805	0.160557	0.223693	0.044128	0.086755	0.104216	0.124468
2	NetflixRecommender	0.045146	0.121860	0.164291	0.229124	0.045146	0.088881	0.106604	0.127288