Jhih-Yu Lin, Shu-Mei Wen, Masaharu Hirota, Tetsu Araki, H. Ishikawa
{"title":"A Method for Ranking Tourist Attractions based on Geo-tagged Photographs and Image Quality Assessment","authors":"Jhih-Yu Lin, Shu-Mei Wen, Masaharu Hirota, Tetsu Araki, H. Ishikawa","doi":"10.1145/3405962.3405991","DOIUrl":null,"url":null,"abstract":"Recently, tourism has become a development emphasis for many countries because international tourism can bring huge revenues; it can also positively affect increased long-run economic growth. However, in this era of complex information, it is hard to get integrated tourist information on the Internet. Consequently, tourists might spend a lot of time to search and compare different information and then decided their travel itinerary. To deal with this issue, we propose a formula for ranking tourist attractions by analyzing geo-tagged photographs on Flickr in this paper. In this way, tourists can save their time to find their interest tourist attractions readily. Moreover, our proposed method includes different aspects such as image quality assessment (IQA), the sentiment of comment, and the popularity of tourist attraction which can evaluate the attractive level of tourist attraction. Especially, we provide different ranking results for local residents and foreign visitors.","PeriodicalId":247414,"journal":{"name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3405962.3405991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recently, tourism has become a development emphasis for many countries because international tourism can bring huge revenues; it can also positively affect increased long-run economic growth. However, in this era of complex information, it is hard to get integrated tourist information on the Internet. Consequently, tourists might spend a lot of time to search and compare different information and then decided their travel itinerary. To deal with this issue, we propose a formula for ranking tourist attractions by analyzing geo-tagged photographs on Flickr in this paper. In this way, tourists can save their time to find their interest tourist attractions readily. Moreover, our proposed method includes different aspects such as image quality assessment (IQA), the sentiment of comment, and the popularity of tourist attraction which can evaluate the attractive level of tourist attraction. Especially, we provide different ranking results for local residents and foreign visitors.