RECOMMENDATION SYSTEM FOR RESTAURANT USING COLLABORATIVE FILTERING ALGORITHM

Abstract

Information travels so fast, there are two types of information that we can get around us, information that can be trusted because it matches what happens in the real world and information that cannot be proven. This trusted information or also known as facts when collected in one place they will become raw data and this raw data can be processed further to answer various questions regarding the cause and effect of an event that has occurred. The data that has been collected with this application is expected to help people to recommend the food according to their eating history at the restaurant. These data will be combined with the data from another people who have the same eating history in the restaurant so that it can improve the customer experience and improving the efficiency of ordering system.