Application for Suggesting Restaurants Using Clustering Algorithms

Abstract

The aim of this article is to present an application whose purpose is to make suggestions of restaurants to users. The application uses as input the descriptions of restaurants, reviews, user reviews available on the specialized Internet sites and blogs. In the application there are used processing techniques of natural language implemented using parsers, clustering algorithms and techniques for data collection from the Internet through web crawlers.

Keywords

• Web crawler
• parser
• stemmatizer
• cluster
• lemmatizer
• data mining
• machine learning