# Restaurant Recommendation System Using Relational Database

##### Domain             : Database, Database Systems,  Recommendation Engine, Recommendation System
##### Sub-Domain         : Relational Database, Machine Learning, Artificial Intelligence
##### Techniques         : Recommendation Engine, Recommendation System


### Description
1. Implemented restaurant recommendation system based on relational database.
2. Used user (eg. location, cuisine preference, rating) and restaurant (location, heterogeneous review criteria) information for generating recommendation.
3. Derived user trustworthiness based on review effectiveness.

#### E-R Diagram: 
<kbd>
<img src=https://github.com/anjanatiha/Restaurant-Recommendation-System/blob/master/restaurantsrecommendationsite/Report/images/er.png>
</kbd>

#### Relational Table:
<kbd>
<img src=https://github.com/anjanatiha/Restaurant-Recommendation-System/blob/master/restaurantsrecommendationsite/Report/images/rt.png>
</kbd>

##### Languages   : Python, MySQL
##### Tools/IDE   : Anaconda
##### Libraries   : 

##### Duration    : Octber - December 2017

Current Version  : v1.0.0.0

Last Update      : 12.01.2017
