Hotel Recommendation Considering Visual Information and Cultural Difference

• Main Authors: Wei-Han Huang, 黃韋翰
• Other Authors: Wei-Ta Chu
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/ghr4b8

碩士 === 國立中正大學 === 資訊工程研究所 === 104 === 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 thesis, based on a large-scale hotel information collection, we further crawl more hotel information and hotel photos from a web-based hotel social media platform and a web-based map service, in order to conduct advanced analysis. With this rich dataset, we analyze various correlations between hotel properties and interesting characteristics. 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 cover photos, and investigate the relationship between rating behaviors and visual information. We finally adopt these correlations to develop a hotel recommender system, and verify that by considering visual information and cultural difference, recommendation performance can be improved.