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description Journal article public ComTech

Indonesian News Harvester and Recommender System

Adi Wibowo, Rolly Intan, Nydia Valentina
Published 2017

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.

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Metrics

  • visibility 277 views
  • get_app 108 downloads