Artificial Intelligence-Based Method to Improve Tourism with the Help of Android Studio-Reference-Cited by-同舟云学术

Artificial Intelligence-Based Method to Improve Tourism with the Help of Android Studio

Published:2021-04-30 Issue:6 Volume:10 Page:50-53
ISSN:2278-3075
Container-title:International Journal of Innovative Technology and Exploring Engineering
language:en
Short-container-title:IJITEE

Author:

. Anusha¹,Agrawal Poorva¹,Kaur Gagandeep¹

Affiliation:

1. Symbiosis Institute of Technology Symbiosis International (Deemed University), Pune, India.

Abstract

Artificial intelligence is a new technology in the field of computer science and information technology. Artificial intelligence techniques are very useful and also applied in many businesses. There are many research areas and opportunities in the field of Artificial intelligence. Artificial intelligence refers to the simulation of human intelligence in machines. Artificial intelligence allows app developers to achieve better mobile application experiences and also helps to improve personalized selections for users. This paper explores the different areas of the artificial intelligence-based system in tourism. This paper presents important future research directions.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Reference19 articles.

1. LV H.L., WANG J.L. & DENG F, A Recommendation Algorithm for Individualized Travelling Route. Network New Media

2. Ying Xu, Tao Hu, Ying Li "A Travel Route Recommendation Algorithm with Personal Preference" 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) 2016

3. N. Ganganath, C.-T. Cheng, and C. K. Tse, "Rapidly replanning A*," in International Conference on Cyber Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2016, pp. 386-389.

4. M. Likhachev, D. Ferguson, G. Gordon, A. Stentz, and S. Thrun, "Anytime search in dynamic graphs," Artificial Intelligence, vol. 172, no. 14, pp. 1613 - 1643, 2008.

5. Alshattnawi, Sawsan & Doush, Iyad & Alsobeh, Anas. (2019). ONLINE MOBILE-BASED PERSONAL TOUR APPLICATION USING ARTIFICIAL BEE COLONY OPTIMIZATION ALGORITHM. Journal of Theoretical and Applied Information Technology.