Valentina, Nydia
Bina Nusantara University

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Indonesian News Harvester and Recommender System Wibowo, Adi; Intan, Rolly; Valentina, Nydia
ComTech: Computer, Mathematics and Engineering Applications Vol 8, No 3 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i3.3912

Abstract

To provide convenience for the user that frequently read the news, a system to gather, classify, and provide news from several news websites in one place was needed. This system utilized a recommender system to provide only relevant news to the user. This research proposed a system architecture that used vector space model, and Rocchio relevance feedback to provide specific news recommendation to user’s feedback. The results are that the proposed system architecture can achieve the goal by using five levels of feedback from the user. However, the time needed to gather news is increasing exponentially in line with the number of terms gathered from articles.