We Know Your Preferences in New Cities: Mining and Modeling the Behavior of Travelers

Rong Xie, Yang Chen, Qinge Xie, Yu Xiao, Xin Wang

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)
267 Downloads (Pure)


The trend of globalization motivates people to travel more often to different cities. In order to provide better suggestions for travelers, it is important to understand their preferences for venue types. In this article, we investigate travelers’ preferences based on the check-in data collected from a popular Location-Based Social Application called Swarm. We conduct a thorough analysis of the check-in data to discover the variation in travelers’ preferences between cities with different characteristics, and to build a model for predicting the venue types of travelers’ interests in each city. Our experimental results demonstrate that the F1-score increases by 0.19 by taking into account the characteristics of the destination city. Moreover, our approach outperforms collaborative filtering, a widely used approach to the design of recommendation systems.
Original languageEnglish
Article number8539017
Pages (from-to)28-35
Number of pages8
JournalIEEE Communications Magazine
Issue number11
Publication statusPublished - 2018
MoE publication typeA1 Journal article-refereed


  • location-based social applications
  • Swarm
  • check-in
  • venue type
  • traveler behavior


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  • Yang Chen

    Yu Xiao (Host)

    27 Aug 20187 Sept 2018

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