Movie Recommender System using Streamlit

This Recommends movie that are much similar to each other based on Cosine distance.

Details

• Content Based that recommends movies on the basis of similarity.
• First Text is preprocessed, stop Words are removed and the CountVectorizer was applied to create the vectors in Dimensional Space.
• For this Purpose, BagOfWord is created combining all the words.
• To determine the distance between one movie with the other the Cosine distance.

Technology Used

• Streamlit
• Numpy
• Pandas
• NLTK
• Scikit-learn

ScreenShot

How to run :

• First install Requirements.txt : pip install -r requirements.txt
• second run The app using Following Commands : streamlit run app.py