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# Supervised Learning - TV-Show recommender # Supervised Learning - TV-Show recommender
## How to run program
### Before running program
First thing to do is to extract TMDB_tv_dataset_v3.zip in dataset folder so that it contains TMDB_tv_dataset_v3.csv.
### Running program
Start main.py and it will load dataset and ask for a title to get recommendations from, also how many recommendations wanted. Then enter and you will have those recommendations presented on screen.
## Specification ## Specification
TV-Show recommender TV-Show recommender
@ -79,14 +87,7 @@ I will use NearestNeighbors (NN) alhorithm together with K-NearestNeighbors alho
* https://scikit-learn.org/0.16/modules/generated/sklearn.decomposition.TruncatedSVD.html * https://scikit-learn.org/0.16/modules/generated/sklearn.decomposition.TruncatedSVD.html
* https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.hstack.html * https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.hstack.html
* https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.html * https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.html
* https://maartengr.github.io/BERTopic/getting_started/embeddings/embeddings.html
## How to run program
### Before running program
First thing to do is to extract TMDB_tv_dataset_v3.zip in dataset folder so that it contains TMDB_tv_dataset_v3.csv.
### Running program
Start main.py and it will load dataset and ask for a title to get recommendations from, also how many recommendations wanted. Then enter and you will have those recommendations presented on screen.