Worth eat: An intelligent application for restaurant recommendation based on customer preference (Case study: Five types of restaurant in Tangerang Selatan region, Indonesia)

2017 5th International Conference on Information and Communication Technology (ICoIC7) Pub Date : 2017-05-01 DOI:10.1109/ICOICT.2017.8074654

D. N. Utama, Luqman Isyraqi Lazuardi, Hersy Ayu Qadrya, B. M. Caroline, Tris Renanda, Atthiya Prima Sari

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引用次数: 12

Abstract

In a metropolitan, to find a restaurant in rush hour is a challenging activity to do. It is going to be easy, when someone accesses an application and it recommend the best restaurant then he / she can visit to. Through using combination between methods fuzzy-logic and bubble-sort that were realized in customer preference case, an intelligent application for restaurant recommendation was technologically constructed. The method fuzzy logic used to parameterize three selected parameters; interest, location, and rating. And, the bubble-sort is a method to optimize the recommendation based on full-factorial concept. Tangerang Selatan (Indonesia) area and twelve restaurants indicating five types of restaurant were practically chosen as a case study of this research, and seventy seven respondents were realistically involved to justify the selected parameters.

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Worth eat:基于顾客偏好的餐厅推荐智能应用(案例研究:印尼Tangerang Selatan地区的五种餐厅)

在大都市，在高峰时间找一家餐馆是一件很有挑战性的事情。这将是很容易的，当有人访问一个应用程序，它会推荐最好的餐厅，然后他/她可以去。将顾客偏好案例中实现的模糊逻辑和气泡排序方法相结合，从技术上构建了餐厅推荐的智能应用程序。采用模糊逻辑方法对选定的三个参数进行参数化;兴趣，位置和评级。冒泡排序是一种基于全因子概念的推荐优化方法。Tangerang Selatan(印度尼西亚)地区和12家餐馆，表明五种类型的餐馆被实际选择为本研究的案例研究，77名受访者实际参与，以证明所选择的参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 5th International Conference on Information and Communication Technology (ICoIC7)

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