{"title":"Tour Miner: Mining System of Tour Plans from SNS: Extraction of Travel Records from Check-in Information","authors":"P. Leelaprute, S. Yamaguchi","doi":"10.1109/icce-asia46551.2019.8942200","DOIUrl":null,"url":null,"abstract":"We have been researching and developing the system called “Tour Miner” which creates a tour plan suitable for individual preferences or interests from the information accumulated in SNS. In this paper, we proposed a method to extract travel records from check-in information accumulated in SNS sharing location information “Foursquare” and constructed a database of travel records. In addition, we proposed a method to select travel records matching personal preferences and interests from the database. As a result of applying the proposed method to the eight examples, it was possible to obtain a sufficient number of travel records that can support the preparation of the tour plan.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce-asia46551.2019.8942200","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
We have been researching and developing the system called “Tour Miner” which creates a tour plan suitable for individual preferences or interests from the information accumulated in SNS. In this paper, we proposed a method to extract travel records from check-in information accumulated in SNS sharing location information “Foursquare” and constructed a database of travel records. In addition, we proposed a method to select travel records matching personal preferences and interests from the database. As a result of applying the proposed method to the eight examples, it was possible to obtain a sufficient number of travel records that can support the preparation of the tour plan.