Indonesia Conference Directory

<< Back

News Recommendation System using Collaborative Filtering Method
A Wahana1, D S Maylawati1,2,*, B A Wiwaha1, M A Ramdhani1, A S Amin3

1Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
2Faculty of Information and Technology, Universiti Teknikal Malaysia Melaka, Malaysia
3Department of Industrial Engineering, Universitas Pasundan, Indonesia

Abstract

In the era of Internet of Things (IoT), various facts, news, and up-to-date information are presented online that can be accessed quickly, anytime, and anywhere. However, sometimes the news which dislayed is not up-to-date or not in accordance with the interests of the reader. This study aims to build a system that can recommend the latest news, which is most often accessed, and that is in accordance with the interests of the reader. The method that used in this study is Collaborative Filtering (CF) to rank news as the best recommendation for readers. Based on the results of experiments conducted on 19 examples of news, the percentage of accuracy results of the recommendations was around 84.2% compared to the manual calculation. This shows that CF capable to provide news recommendations good enough

Keywords: Internet of Things (IoT), recommend the latest news, Collaborative Filtering

Topic: Computer Science

Link: https://ifory.id/abstract/YeGJMadHzcr4

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Agung Wahana)

Menu

Home Browse Search Services

Featured Events

<< Swipe >>

Embed Logo

If your conference is listed in our system, please put our logo somewhere in your website. Simply copy-paste the HTML code below to your website (ask your web admin):

<a target="_blank" href="https://ifory.id"><img src="https://ifory.id/ifory.png" title="Ifory - Indonesia Conference Directory" width="150" height="" border="0"></a>

Site Stats