TY - JOUR
T1 - Cultural difference and visual information on hotel rating prediction
AU - Chu, Wei Ta
AU - Huang, Wei Han
N1 - Funding Information:
Acknowledgments The work was partially supported by the Ministry of Science and Technology of Taiwan under the grants MOST 103-2221-E-194-027-MY3, MOST 104-2221-E-194 -014, and MOST 105-2628-E-194-001-MY2.
Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - 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.
AB - 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.
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U2 - 10.1007/s11280-016-0404-2
DO - 10.1007/s11280-016-0404-2
M3 - Article
AN - SCOPUS:85028007676
VL - 20
SP - 595
EP - 619
JO - World Wide Web
JF - World Wide Web
SN - 1386-145X
IS - 4
ER -