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All Journal JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Alldie Refkrisnatta
Stikubank University Semarang
Electrical & Electronics Engineering

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Cafe Selection Recommendation System in Semarang City Uses Collaborative Filtering Method with Item Based Filtering Algorithm Alldie Refkrisnatta; Dewi Handayani
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 6 No 2 (2022): October
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v6i2.1637

Abstract

The cafe selection recommendation system in the city of Semarang aims to provide recommendations for users in finding the desired café according to the type of café expected. This recommendation system serves to predict an item that is of interest to the user. Implementation of recommendation system using Collaborative Filtering and Item Based Filtering algorithms. Collaborative filtering is a recommendation system algorithm where recommendations are given based on consideration of data from other users while the Item Based Filtering algorithm to provide recommendations based on similarities between customer tastes and café characteristics.
Co-Authors Dewi Handayani Untari Ningsih