Cultural difference and visual information on hotel rating prediction

Wei Ta Chu, Wei Han Huang

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)


Due to the emergence of hotel social media platforms, how to discover interesting properties and utilize these discovered characteristics in hotel-related applications become important issues. In this work, we extend a large-scale hotel information collection to include heterogeneous hotel information, in order to facilitate multimodal and cross-culture analysis. With this rich dataset, we analyze various correlations between hotel properties and unveil interesting characteristics that would benefit hotel recommendation. We found that travelers from different cultural areas (countries) have different rating behaviors. In addition, beyond the scope of conventional text-based hotel analysis, we utilize visual analysis techniques to analyze hotel’s cover photo, and investigate the relationship between rating behaviors and visual information. We adopt these correlations to predict hotel ratings, and verify that by considering visual information and cultural difference, prediction performance can be improved.

頁(從 - 到)595-619
期刊World Wide Web
出版狀態Published - 2017 7月 1

All Science Journal Classification (ASJC) codes

  • 軟體
  • 硬體和架構
  • 電腦網路與通信


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