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An Advanced Intelligent Tourist Guide

R.H. Joshi1 , B.D. Deshpande2 , D.M. Gohane3 , R.S. Gautam4

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-5 , Page no. 70-73, May-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i5.7073

Online published on May 30, 2020

Copyright © R.H. Joshi, B.D. Deshpande, D.M. Gohane, R.S. Gautam . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: R.H. Joshi, B.D. Deshpande, D.M. Gohane, R.S. Gautam, “An Advanced Intelligent Tourist Guide,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.5, pp.70-73, 2020.

MLA Style Citation: R.H. Joshi, B.D. Deshpande, D.M. Gohane, R.S. Gautam "An Advanced Intelligent Tourist Guide." International Journal of Computer Sciences and Engineering 8.5 (2020): 70-73.

APA Style Citation: R.H. Joshi, B.D. Deshpande, D.M. Gohane, R.S. Gautam, (2020). An Advanced Intelligent Tourist Guide. International Journal of Computer Sciences and Engineering, 8(5), 70-73.

BibTex Style Citation:
@article{Joshi_2020,
author = {R.H. Joshi, B.D. Deshpande, D.M. Gohane, R.S. Gautam},
title = {An Advanced Intelligent Tourist Guide},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2020},
volume = {8},
Issue = {5},
month = {5},
year = {2020},
issn = {2347-2693},
pages = {70-73},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5111},
doi = {https://doi.org/10.26438/ijcse/v8i5.7073}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i5.7073}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5111
TI - An Advanced Intelligent Tourist Guide
T2 - International Journal of Computer Sciences and Engineering
AU - R.H. Joshi, B.D. Deshpande, D.M. Gohane, R.S. Gautam
PY - 2020
DA - 2020/05/30
PB - IJCSE, Indore, INDIA
SP - 70-73
IS - 5
VL - 8
SN - 2347-2693
ER -

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Abstract

A recommendation system is more important and helpful in both research and industry. This paper first examines the method of travel sequence recommendation. The proposed methodology is to design a system based on user’s point of interests. The whole procedure comprise of following: Pages are accessible to the users based on Google API. Based on the point of interest, all the results are retrieved. The proposed methodology is implemented using Google API keys to find places according to user’s point of interests. Three places API used here are place search, place text search and place details API. The technique is tried on self-made database comprising of user information, user’s feedback, country, state and city, spot and spot types. In this website, user can give feedback for the previously visited places

Key-Words / Index Term

Google API, Point of Interest, Recommendation

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