/MovieRecommender

Primary LanguageJupyter Notebook

Movie-Recommender-System

A Web Based user-item Movie Recommendation Engine using Content Based Recommender System By vectorization and The recommendation based on the underlying idea that is movie will be recommended based on the tags provided by user.

Screenshot

Home page

Technologies Used

Web Technologies

Streamlit

Machine Learning Library In Python3

Numpy , Pandas , AST, NLTK, CountVectorizer, CosineSimilarity

Deployed Link

https://movie-recommender-w.herokuapp.com/
Requirements
python 3.6

pip3
Setup to run
To install Dependencies

pip install -r requirements.txt

Creating Local Server

Goto directory, example

cd ../Movie-Recommendation

To run

streamlit run app.py  or py -m streamlit run app.py

Now open your browser and go to this address

http://localhost:8501/