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Restaurant-Recommender

A recommendation engine that is built using item-based collaborative filtering algorithm. Datasets are provided by Yelp.

Prerequisities

  • Node.js
  • NPM
  • Python
  • Flask
  • SciPy
  • PyMongo

Installation

Create a databse called recommender in mongodb.

use recommender

Download collections.

Import collections.

mongoimport --db recommender --collection JSON_FILE_NAME --file

Go to UI folder and install dependencies.

npm install

Usage

Go the API folder and start the app.py file.

python app.py

This will start the Python server which serves as the backend and will provide the recommendations

Next go the UI folder and start the node server

node app.js

Now the application can be accessed at localhost:3000.

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