Indonesian News Harvester and Recommender System

Autor:	Adi Wibowo, Rolly Intan, Nydia Valentina
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	recommender system vector space model Rocchio relevance feedback Technology Engineering (General). Civil engineering (General) TA1-2040 Science
Zdroj:	ComTech, Vol 8, Iss 3, Pp 171-176 (2017)
Druh dokumentu:	article
ISSN:	2087-1244 2476-907X
DOI:	10.21512/comtech.v8i3.3912
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/725e6c2a877c4f3991fc0edc8dfb251d Zobrazit plný text záznamu View record in DOAJ