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Make your travel smarter: Summarizing urban tourism information from massive blog data

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  • Yuan, Hua
  • Xu, Hualin
  • Qian, Yu
  • Li, Yan

Abstract

In this work, we propose a research framework to help people summarize tourism information, such as popular tourist locations as well as their travel sequences (routes), for a previously unknown city from massive travel blog with the objective of providing users with better travel scheduling. To do this, we first crawl the massive travel blogs for a targeted city online. Then, we transfer the textual contents of these blogs to a series of word vectors to form the initial data source. Next, we implement the frequent pattern mining method on the data to identify the city's popular locations by their sequenced co-occurrences among the usual tourism activities, which can be visualized into a word network. Finally, we develop a max-confidence based method to detect travel routes from the network. We illustrate the benefits of this approach by applying it to the data from a blog web-site run by a Chinese online tourism service company. The results show that the proposed method can efficiently explore the popular travel information from massive data.

Suggested Citation

  • Yuan, Hua & Xu, Hualin & Qian, Yu & Li, Yan, 2016. "Make your travel smarter: Summarizing urban tourism information from massive blog data," International Journal of Information Management, Elsevier, vol. 36(6), pages 1306-1319.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:6:p:1306-1319
    DOI: 10.1016/j.ijinfomgt.2016.02.009
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    References listed on IDEAS

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    1. repec:bla:jamest:v:47:y:1996:i:5:p:357-369 is not listed on IDEAS
    2. Law, Rob & Rong, Jia & Vu, Huy Quan & Li, Gang & Lee, Hee Andy, 2011. "Identifying changes and trends in Hong Kong outbound tourism," Tourism Management, Elsevier, vol. 32(5), pages 1106-1114.
    3. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.
    4. Orellana, Daniel & Bregt, Arnold K. & Ligtenberg, Arend & Wachowicz, Monica, 2012. "Exploring visitor movement patterns in natural recreational areas," Tourism Management, Elsevier, vol. 33(3), pages 672-682.
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    Cited by:

    1. Maela Madel L. Cahigas & Ardvin Kester S. Ong & Yogi Tri Prasetyo, 2023. "Super Typhoon Rai’s Impacts on Siargao Tourism: Deciphering Tourists’ Revisit Intentions through Machine-Learning Algorithms," Sustainability, MDPI, vol. 15(11), pages 1-29, May.
    2. Raniah Alsahafi & Ahmed Alzahrani & Rashid Mehmood, 2023. "Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations," Sustainability, MDPI, vol. 15(5), pages 1-64, February.
    3. Arenas, Alvaro E. & Goh, Jie Mein & Urueña, Alberto, 2019. "How does IT affect design centricity approaches: Evidence from Spain’s smart tourism ecosystem," International Journal of Information Management, Elsevier, vol. 45(C), pages 149-162.
    4. Jimenez-Marquez, Jose Luis & Gonzalez-Carrasco, Israel & Lopez-Cuadrado, Jose Luis & Ruiz-Mezcua, Belen, 2019. "Towards a big data framework for analyzing social media content," International Journal of Information Management, Elsevier, vol. 44(C), pages 1-12.

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