Diginix - Ai booked orders value 180,000 USD in the month of December

Recommender system for
restaurant menu app

AboutThe Client

The project was implemented for a startup based in the US, who was building a mobile app for personalized restaurant menu recommendations.

Recommender system for restaurant menu app

About this project

Project Description:

As part of the project, we’ve scraped data about meals and menus from the internet. More than 7 million menu items from around 40,000 restaurants in the USA.

Feature extraction techniques were implemented in order to transform semi-structured data into a more useful representation. A personalized content-based menu recommendation system was created.

We’ve incorporated filtering techniques, specifically to deal with the cold start problem.


  • spaCy, PyTorch.
  • Scrapy framework to collect data from the internet.

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