Inspiration

What it does

  1. Recommends Yelpers, top best businesses according to their preferences

How I built it

Built it using Python and Spark libraries

Challenges I ran into

A newbie in data science and Spark, it was comparatively challenging to work with Spark

What I learned

Algorithms in recommendation engines, Spark and Python

What's next for Yelper's Recommendation Engine

This project is a very simple implementation of recommendation system. It can be further enhanced with more features like more preference choices, recommendation taking into consideration user’s location, review analysis for positivity and negativity, analysis on a business’s expansion possibility, competitions around and predicting business growth. Recommendation engines provide a great deal of information for business growth and is a very profitable solution for many organizations. More efficient algorithms can be explored for accurate predictions.

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