最佳旅游景点推荐系统的设计与开发

2020 2nd International Conference on Information Technology and Computer Application (ITCA) Pub Date : 2020-12-01 DOI:10.1109/ITCA52113.2020.00130

Haiyan Lv, Zhiqiang Li, Baoqiang Wen, Chauan Wan

{"title":"最佳旅游景点推荐系统的设计与开发","authors":"Haiyan Lv, Zhiqiang Li, Baoqiang Wen, Chauan Wan","doi":"10.1109/ITCA52113.2020.00130","DOIUrl":null,"url":null,"abstract":"The best tourist attractions is the most concerned issue of consumers for our choice with development of information technology and the application of big data technology have solved this demand of consumers. The best tourist attractions recommendation system developed by Internet platform, MySQL database, JAVA JSP technology, B/S design mode and other technologies are widely used in the selection and decision-making process of the best tourist attractions for the optimal Economy Recommendation System.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Recommendation System Design and Development for the best Tourist Attraction\",\"authors\":\"Haiyan Lv, Zhiqiang Li, Baoqiang Wen, Chauan Wan\",\"doi\":\"10.1109/ITCA52113.2020.00130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The best tourist attractions is the most concerned issue of consumers for our choice with development of information technology and the application of big data technology have solved this demand of consumers. The best tourist attractions recommendation system developed by Internet platform, MySQL database, JAVA JSP technology, B/S design mode and other technologies are widely used in the selection and decision-making process of the best tourist attractions for the optimal Economy Recommendation System.\",\"PeriodicalId\":103309,\"journal\":{\"name\":\"2020 2nd International Conference on Information Technology and Computer Application (ITCA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 2nd International Conference on Information Technology and Computer Application (ITCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCA52113.2020.00130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCA52113.2020.00130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

最好的旅游景点是消费者最关心的选择问题，随着信息技术的发展和大数据技术的应用解决了消费者的这一需求。通过Internet平台、MySQL数据库、JAVA JSP技术、B/S设计模式等技术开发的最佳旅游景点推荐系统，广泛应用于最佳旅游景点的选择和决策过程中，为最优经济推荐系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Recommendation System Design and Development for the best Tourist Attraction

The best tourist attractions is the most concerned issue of consumers for our choice with development of information technology and the application of big data technology have solved this demand of consumers. The best tourist attractions recommendation system developed by Internet platform, MySQL database, JAVA JSP technology, B/S design mode and other technologies are widely used in the selection and decision-making process of the best tourist attractions for the optimal Economy Recommendation System.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2020 2nd International Conference on Information Technology and Computer Application (ITCA)

自引率

0.00%

发文量