Ilhamsyah, Syahru Rahmayudha, Izhan Fakhruzi, Ferdy Febrianto, Ahmad Cahyono Adi, Veri Gunawan
{"title":"Recommendation System for the Improvement of E-Government Services in the Tourism Sector of Pontianak City","authors":"Ilhamsyah, Syahru Rahmayudha, Izhan Fakhruzi, Ferdy Febrianto, Ahmad Cahyono Adi, Veri Gunawan","doi":"10.1109/ICISS55894.2022.9915103","DOIUrl":null,"url":null,"abstract":"Complete e-government tourism information and services in one portal will make users get abundant information, so that users are confused in determining the right information particularly accommodation information for themselves when travelling. Therefore, a recommendation system is needed to assist users in filtering the abundant accommodation information and deciding what accommodation is needed. The recommendation system with the content-based filtering method provides good accommodation recommendations because it does not depend on other users, but by providing relevant recommendations by extracting content features so that new users can get the right recommendations. The test results showed that the recommendation system using the content-based filtering method has successfully provided accommodation recommendations for users appropriately with an average accuracy of 76.67%.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS55894.2022.9915103","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
Complete e-government tourism information and services in one portal will make users get abundant information, so that users are confused in determining the right information particularly accommodation information for themselves when travelling. Therefore, a recommendation system is needed to assist users in filtering the abundant accommodation information and deciding what accommodation is needed. The recommendation system with the content-based filtering method provides good accommodation recommendations because it does not depend on other users, but by providing relevant recommendations by extracting content features so that new users can get the right recommendations. The test results showed that the recommendation system using the content-based filtering method has successfully provided accommodation recommendations for users appropriately with an average accuracy of 76.67%.