From d2a625c5b98fffe5e3cb92a21e99002434ec3e1f Mon Sep 17 00:00:00 2001 From: jwradhe Date: Wed, 6 Nov 2024 22:40:09 +0100 Subject: [PATCH] Uppdatera README --- README.md | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 98e3283..711d492 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,13 @@ # 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 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://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://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. + +