印尼新闻收割机和推荐系统

ComTech Pub Date : 2017-09-30 DOI:10.21512/COMTECH.V8I3.3912
A. Wibowo, R. Intan, Nydia Valentina
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引用次数: 1

摘要

为了方便经常阅读新闻的用户,需要一个从多个新闻网站收集、分类和提供新闻的系统。该系统利用了一个推荐系统,只向用户提供相关的新闻。本研究提出了一种采用向量空间模型和Rocchio相关性反馈的系统架构,针对用户的反馈提供针对性的新闻推荐。结果表明,所提出的系统架构可以通过使用用户的五个级别的反馈来实现目标。然而,收集新闻所需的时间随着从文章中收集的术语数量呈指数级增长。
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Indonesian News Harvester and Recommender System
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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0.00%
发文量
6
审稿时长
16 weeks
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