A Web-based Application for Interesting Place Recommendation

See Yong Shu, Wan Hussain Wan Ishak, Fadhilah Mat Yamin
{"title":"A Web-based Application for Interesting Place Recommendation","authors":"See Yong Shu, Wan Hussain Wan Ishak, Fadhilah Mat Yamin","doi":"10.1109/DASA54658.2022.9765149","DOIUrl":null,"url":null,"abstract":"Today, the Internet has become one of the most essential media for disseminating information, particularly in the field of tourism. When it comes to organising a trip, most people will seek assistance. Existing travel websites, on the other hand, lack a suggestion feature that can recommend ideal locations based on the wants and requirements of customers. As a result, users had difficulty planning their vacations. In this article, an interesting place recommender system for travellers is proposed. The proposed system is a website application that provides a list of recommended places for users based on their background. In greater detail, this recommender system will compare the users' information to the history of other tourists and suggest a suitable trip destination for the user. The waterfall model, which is a step-by-step approach to designing an application, was used to develop this application. Thirty-one people were asked to use and test the system as part of the system evaluation. The results suggest that the system performs well, and the majority of respondents were pleased with the proposed system.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASA54658.2022.9765149","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

Today, the Internet has become one of the most essential media for disseminating information, particularly in the field of tourism. When it comes to organising a trip, most people will seek assistance. Existing travel websites, on the other hand, lack a suggestion feature that can recommend ideal locations based on the wants and requirements of customers. As a result, users had difficulty planning their vacations. In this article, an interesting place recommender system for travellers is proposed. The proposed system is a website application that provides a list of recommended places for users based on their background. In greater detail, this recommender system will compare the users' information to the history of other tourists and suggest a suitable trip destination for the user. The waterfall model, which is a step-by-step approach to designing an application, was used to develop this application. Thirty-one people were asked to use and test the system as part of the system evaluation. The results suggest that the system performs well, and the majority of respondents were pleased with the proposed system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一个基于web的有趣的地方推荐应用程序
今天,互联网已成为传播信息的最重要的媒体之一,特别是在旅游领域。说到组织旅行,大多数人都会寻求帮助。另一方面,现有的旅游网站缺乏建议功能,可以根据客户的需求推荐理想的地点。因此,用户很难计划他们的假期。本文提出了一个有趣的旅游景点推荐系统。提出的系统是一个网站应用程序,根据用户的背景为他们提供推荐的地点列表。更详细地说,这个推荐系统会将用户的信息与其他游客的历史记录进行比较,并为用户推荐一个合适的旅行目的地。瀑布模型是一种逐步设计应用程序的方法,用于开发此应用程序。31个人被要求使用和测试该系统,作为系统评估的一部分。结果表明,该系统运行良好,大多数受访者对拟议的系统感到满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Determinants of Vietnamese Farmers’ Intention to Adopt Ecommerce Platforms for Fresh Produce Retail: An Integrated TOE-TAM Framework Application of AI, IOT and ML for Business Transformation of The Automotive Sector Role of Work Engagement among Nurses Working in Government Hospitals: PLS-SEM Approach A Comparative Study of Machine Learning Models for Parkinson’s Disease Detection Median filter for denoising MRI: Literature review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1