Rancang Bangun Recommender System dengan Menggunakan Metode Collaborative Filtering untuk Studi Kasus Tempat Kuliner di Surabaya

Anthea Adellya Pradnya Devi, David Boy Tonara

Abstract


Culinary will have more and more big opportunities for the people who want to have a new business. Because food and beverages are people’s primary requirements. Even now, culinary spot not only to fulfill primary requirement, but also become the place where we can meet or chill out with friends , and business meeting. Nowadays opening a culinary business becoming a trend for people who going to start a new business. We can see people eat and drink every time everywhere. Even now a restaurant or cafe can become not only a place to eat, but to hang out, have a meeting, etc. This causes the culinary business to grow rapidly and has so much variety in its product. However, those sometimes make people confuse where is the best place to eat that suit their preferences. Therefore a recommender system website with collaborative filtering method has been built, to help consumer pick a restaurant that suit their wants, according to other’s consumer rating that have been processed with item-based collaborative filtering algorithm. The experiment about recommendations for help people making decisions that suit their preferences have value of accuracy around 76% based on 32 sampling data.

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References


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