A Study on the Integrated Development of Artificial Intelligence and Tourism from the Perspective of Smart Tourism

Author:

Pei Yingying,Zhang Yingchao

Abstract

Abstract In order to provide better travel experience for users under smart tourism, a data model that can be used for tourism analysis which is constructed by combining big data, Hadoop and crawler technology. Then, we combine with Item-based recommendation algorithm and the technology collected by crawler technology based on this model. It can provide an example of the specific integration application of big data analysis model and tourism. The results showed that the analysis model can highly recommend scenic spots favored by tourists. So it can provide reference for the integration of ARTIFICIAL intelligence and tourism, as well as a concrete example for the integration of artificial intelligence and tourism in the future.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference10 articles.

1. Development of tourism location recommendation system;Liu;Information technology and informatization,2020

2. Data feature mining method of electricity consumption behavior based on Hadoop platform;Yongcai;Automation and instrumentation,2020

3. Yunnan ethnic culture tourism information recommendation system based on cloud server;Ping;Microcomputer application,2020

4. Information construction and improvement of sanatorium based on Hadoop technology;Yun;Life science instruments,2020

5. Interpretable scenic spot recommendation based on tourism knowledge map [J];Jialiang;Chinese Science: Information Science,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3