Pulkit12dhingra / Pyspark-Recommendation-System

The repository is about the movie Recommendation System using the Movie lens dataset. Working with Pyspark Apache spark and deployed over Flask Framework

Pyspark-Recommendation-System

The project is a savior for binge-watchers spending lots of time finding their perfect fit in movies. The project deals with a movie recommendation system. It is powered by a spark dataframe which allows it to handle a large set of data ( which we call Big data) and make recommendations. The project runs on ALS recommendation model and runs over a web API. To make the project much more user interactive, the project uses a chatbot like interphase.

Here is what our interphase will look like:-

How to run??

There are few things you need to have as prerequisites before using the project.

1. Have spark installed and running
2. Have Flask installed on your computer

Procedure

Having fulfilled all the requirements now is the easy part:-

1. Run the get_model.py file to train the model
2. After the model is created you'll have an "als_model" folder containing the model.
3. Now run app.py to start the flask app.
4. Go to localhost:5000 URL on your favorite browser, and you are good to go...

:) Enjoy, Thanks.