{"title":"Sights, titles and tags: mining a worldwide photo database for sightseeing","authors":"A. Luberg, Jakob Pindis, T. Tammet","doi":"10.1145/3405962.3405987","DOIUrl":null,"url":null,"abstract":"The paper focuses on calculating suitable place names and descriptive tags for large photo collections of visually interesting sights. The core dataset analyzed contains 45 million crowd-sourced geotagged pictures of the Panoramio database. We present several methods for analysis along with machine learning experiments for tag recommendation and suggest a manually built taxonomy of tag categories, based on the analysis of most widely used taglike words in the photo titles, along with their popularities. The methods, selected tags and the taxonomy can be used for building different tourism applications for visually interesting sights.","PeriodicalId":247414,"journal":{"name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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/10.1145/3405962.3405987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The paper focuses on calculating suitable place names and descriptive tags for large photo collections of visually interesting sights. The core dataset analyzed contains 45 million crowd-sourced geotagged pictures of the Panoramio database. We present several methods for analysis along with machine learning experiments for tag recommendation and suggest a manually built taxonomy of tag categories, based on the analysis of most widely used taglike words in the photo titles, along with their popularities. The methods, selected tags and the taxonomy can be used for building different tourism applications for visually interesting sights.
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