Wibowo, Adi and Intan, Rolly and Valentina, Nydia (2017) Indonesian News Harvester and Recommender System. Jurnal Comtech (Computer, Mathematics and Engineering Applications), 8 (3). pp. 171-176. ISSN 2476-907X
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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 specifc news recommendation to user’s feedback. The results are that the proposed system architecture can achieve the goal by using fve 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | news harvester, recommender system, vector space model, Rocchio relevance feedback |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Industrial Technology > Informatics Engineering Department |
| Depositing User: | Admin |
| Date Deposited: | 13 Dec 2018 00:46 |
| Last Modified: | 17 Oct 2019 08:21 |
| URI: | https://repository.petra.ac.id/id/eprint/18074 |
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