Introducing the Menutka project

One of the first projects presented by Glavstart at the recent Investment Session was the Menutka project.



Menutka is a service with the help of which people search for specific dishes from restaurants menu according to various parameters, including ratings and reviews of other people.



The main feature of the application is that Menutka can recommend dishes based on the tastes of the user. The system adjusts to the tastes of a particular user using the collaborative filtering algorithm:

• The rating system is based on “likes” that people put to specific dishes. At the same time, we all understand that the ratings on the absolute number of “likes” reflect the majority opinion, but often may not correspond to the tastes and preferences of a particular person,
• When making ratings and recommendations for a specific user, in Menyutka, the weights of people “like” the same dishes as this user increase. Thus, in the rating of each individual person, dishes that people like with tastes that most closely match the tastes of this user rise upward.
• As a result, the more a user “likes” dishes, the more opinions about dishes are collected by the system, the greater is its coverage and personalization accuracy for all users of the service.

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Now ready version of the application for the iPhone. The service still has many restaurants from St. Petersburg, and not very much for Moscow, but by the end of October, the developers promise to replenish the menu base of Moscow restaurants. First of all, we want to use this project was easy and convenient, so - we will be very happy if you use the application and share your impressions, feedback and constructive criticism. :)



Download from the American AppStore

Download from the Russian AppStore



To contact the authors of the project, you can use the mail - a.sundukov@menutka.com



After collecting opinions and suggestions from users, the next version for iPhone and the version for Android will be developed. Developers are waiting for your feedback and suggestions.