基于向量空间模型的信息旅游搜索

Dede Wintana, Sfenrianto, Hikmatulloh, M. Raharjo, Jordy Lesmana Putra, Dyah Ayu Ambarsari, Desi Dwi Jayanti
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引用次数: 0

摘要

旅游业的发展旨在创造均匀分布在一个地区的旅游目的地,包括印度尼西亚西爪哇岛苏卡umi的旅游业。本研究以关键词“航空terjun sukabumi”进行网路二次资料检索。信息搜索方法是使用向量空间模型(VSM)来查看与权重项的相似程度。通过传递各种过程,如标记大小,过滤,词干提取,tf和df,计算逆文档频率和其他几个过程。结果表明,该算法非常适合于对样本的处理。文档排名的确定是由算法的几个阶段完成的,这些阶段产生一些具有最高值的文档。研究也证明了该算法在素kabumi地区的瀑布数据搜索中是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching Information Tourism using Vector Space Model
Development of tourism is directed at creating tourist destinations that are evenly distributed in an area, including tourism in Sukabumi, West Java, Indonesia. This study conducts secondary data retrieval from the internet by using keyword ”air terjun sukabumi“. Information search method is to use a Vector Space Model (VSM) to see the level of similarity with the weighting term. By passing various processes such as tokensizing, filtering, stemming, tf and df, calculation of inverse document frequency and several other processes. The results shows that the proposed algorithm is very suitable for processing the sample. Determination of document ranking is done by several stages of the algorithm that produce some documents with the highest value. The study can also prove the proposed algorithm can work well in the case of searching for waterfall data in Sukabumi district.
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