Implementation of Content Based Filtering Method in Restaurant Menu Ordering Recommendation System

Authors

  • Anang Pramono Universitas 17 Agustus 1945 Surabaya
  • Timotius Satrio Setyo Ardi Wolayan Universitas 17 Agustus 1945 Surabaya

DOI:

https://doi.org/10.57096/return.v3i4.206

Keywords:

Content-based Filtering, Increasing Sales, Recommendation Systems

Abstract

Sales is one of the key factors in business. Failure to increase sales can lead to the collapse and bankruptcy of a business. Recommendation System is a system that is capable of predicting products desired by users. Personalized product recommendations effectively boost sales in a business. In this context, the recommendation system is a strategic tool to optimize the user experience and encourage further purchases. This research applies the content-based filtering method, which utilizes an item similarity-based recommendation approach. Three variables are used to determine the recommended product order: similarity value, sales quantity, and rating. Based on the trial, it was found that 77.3% of users were interested in the recommended products, while the remaining 22.7% preferred to purchase other products. Therefore, it can be concluded that the recommendation system can influence users to purchase the recommended products, thus impacting sales.

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Published

2024-05-09