Analysis of Relationship between Personal Factors and Visiting Places using Random Forest Technique

2019 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2019-09-26 DOI:10.15439/2019F318

Young Myung Kim, H. Song

引用次数: 2

Abstract

There has been research regarding relationship between human personalities and visiting places using Big Five Factor (BFF). However, other factors such as Social media usage, Hobby, Gender, Age, and Religion and so on are regarded as also major factors which effects the choice of visiting place of a person. Using questionnaire designed by authors, these factors as well as BFF were prepared for this research. The visiting places were collected by a smartphone app called SWARM and classified in 10 categories. In sum, personal data of 34 participants had been collected for several months. To Figure out the relationship between these factors and visiting places, random forest technique of ensemble method was used.

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利用随机森林技术分析个人因素与旅游地点的关系

有一项研究利用大五因素(BFF)来研究人类性格和旅游地点之间的关系。然而，其他因素，如社交媒体的使用，爱好，性别，年龄，宗教信仰等也被认为是影响一个人选择旅游地点的主要因素。本研究采用作者设计的问卷，对这些因素以及最好的朋友进行了调查。一款名为SWARM的智能手机应用收集了这些旅游景点，并将其分为10类。总共收集了34名参与者的个人资料，历时数月。为了找出这些因素与旅游地点之间的关系，采用了集合方法中的随机森林技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 Federated Conference on Computer Science and Information Systems (FedCSIS)

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