Automated Menu Recommendation System Based on Past Preferences

Daniel Simon,Ankur Agrawal

doi:10.14569/ijacsa.2014.050711

Abstract

Data mining plays an important role in ecommerce in today’s world. Time is critical when it comes to shopping as options are unlimited and making a choice can be tedious. This study presents an application of data mining in the form of an Android application that can provide user with automated suggestion based on past preferences. The application helps a person to choose what food they might want to order in a specific restaurant. The application learns user behavior with each order - what they order in each kind of meal and what are the products that they select together. After gathering enough information, the application can suggest the user about the most selected dish in the recent past and since the application started to learn. Applications, such as these, can play a major role in helping make a decision based on past preferences, thereby reducing the user involvement in decision making.

Highlights

E-commerce has become an important aspect of our life today
This paper describes a study performed by applying data mining techniques and Android application development techniques in creating an application for a restaurant
Recommendation systems have become an important part of our digital life

Summary

Introduction

E-commerce has become an important aspect of our life today. The popularity of mobile devices has further helped towards pushing this trend upwards [1]. People are spending more time shopping online on their mobile devices today than they were in the past. Inventories of online stores are ever increasing giving shoppers more options to choose from. With the availability of so many different options, making a decision can be stressful. Data mining can play an important role in providing user with the right information at the right time, improving the shopping experience of the user [2]

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Conclusion