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2020 | OriginalPaper | Chapter

Characteristic of Network Attention for Rural Tourism Based on Big Data

Authors : Chunyan Wang, Qinglan Luo, Hyungho Kim

Published in: Innovative Computing

Publisher: Springer Singapore

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Abstract

In order to understand the changing characteristics of rural tourism development in the era of big data, this study conducted a search on the network attention of rural tourism in China from 2016 to 2018 based on Baidu Index using keywords. The results show that the daily network attention of rural tourism in China varies regularly from 2016 to 2018. The peak season of rural tourism is from March to June and from October to December. During International Labor Day holiday, there is a high degree of concern. And one to three days before the holidays, the purpose of searching is strong. During the Spring Festival, the daily network attention of rural tourism is not large and the enthusiasm of tourists to choose rural tourism is not high.

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previous chapter Hybrid Filtering Recommendation System for Libraries
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Metadata
Title
Characteristic of Network Attention for Rural Tourism Based on Big Data
Authors
Chunyan Wang
Qinglan Luo
Hyungho Kim
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovative Computing

Print ISBN: 978-981-15-5958-7

Electronic ISBN: 978-981-15-5959-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-5959-4_121

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