GitHub - karthickraja-rgb/MOVIE_RECOMMENDATION_MODEL: content-based movie recommendation system that suggests similar movies using TF-IDF and SBERT embeddings with cosine similarity for efficient matching. Utilized Python, TF-IDF, SBERT, scikit-learn, pandas, and NumPy, enabling fast data processing and improved recommendation accuracy through semantic similarity understanding.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
movie.ipynb		movie.ipynb
sbert_embeddings.pkl		sbert_embeddings.pkl
tfidf_matrix.pkl		tfidf_matrix.pkl
tmdb_5000_movies.csv		tmdb_5000_movies.csv

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content-based movie recommendation system that suggests similar movies using TF-IDF and SBERT embeddings with cosine similarity for efficient matching. Utilized Python, TF-IDF, SBERT, scikit-learn, pandas, and NumPy, enabling fast data processing and improved recommendation accuracy through semantic similarity understanding.

scikit-learn tfidf bert-model vectorization-library