CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Travel Package Recommendation System based on Package Locations and Rating

by Jadhav Dipali, Sanap Pragati, Undre Pratik, Mahajan Yogeshwari
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 8
Year of Publication: 2017
Authors: Jadhav Dipali, Sanap Pragati, Undre Pratik, Mahajan Yogeshwari
10.5120/ijca2017916017

Jadhav Dipali, Sanap Pragati, Undre Pratik, Mahajan Yogeshwari . Travel Package Recommendation System based on Package Locations and Rating. International Journal of Computer Applications. 179, 8 ( Dec 2017), 1-3. DOI=10.5120/ijca2017916017

@article{ 10.5120/ijca2017916017,
author = { Jadhav Dipali, Sanap Pragati, Undre Pratik, Mahajan Yogeshwari },
title = { Travel Package Recommendation System based on Package Locations and Rating },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 8 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number8/28753-2017916017/ },
doi = { 10.5120/ijca2017916017 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:46.091018+05:30
%A Jadhav Dipali
%A Sanap Pragati
%A Undre Pratik
%A Mahajan Yogeshwari
%T Travel Package Recommendation System based on Package Locations and Rating
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 8
%P 1-3
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Throughout the decades, travelling has encountered constant development and extending expansion to wind up noticeably one of the quickest developing monetary segments on the planet. Among the current travelling applications, just a modest bunch encourage the capacity to design a visit which is totally in light of client inclinations, while offering a top to bottom take a gander at the coveted goal. Hence, this examination concentrates on coordinating semantic innovations, cooperative sifting into the area of travelling and give client arranged visit designs with superlative client fulfilment. Visit arranging and the method for investigating wanted courses, real stops or attractions en route by means of virtual reality 360 view understanding. Moreover, business associations can utilize the electronic dashboard to keep up their administrations, offers, bundles, spending report and acquire business diagnostic based changes.

References
  1. S. Kotiloglu, T. Lappas, K. Pelechrinis, P.P. Repoussis, Personalized multi-period tour Recommendations ,ELSEVIER(2017).
  2. D. I. De Silva1, I. U. Kaluthanthri2 , K. S. Sudaraka3, U. P. D. Karunarathna4, J. M. T. I. Jayalath5 Scylax Preference based Personalized Tour Planner with Virtual Reality ,IEEE-2016.
  3. Anacleto , R. Figueiredo, L., Almeida, A., & Novais, P. (2014). Mobile application to provide personalized sightseeing tours. Journal of Network and Computer Applications , 41, 56e64.
  4. Ayeh, J. K., Au, N., & Law, R. (2013). Predicting the intention to use consumer generated media for travel planning . Tourism Management, 35, 132e143.
  5. Brilhante, I. R., Macedo, J. A., Nardini, F. M., Perego, R., & Renso, C. (2015). On planning sightseeing tours with TripBuilder . Information Processing & Management, 51(2), 1e15.
  6. T. Simcock, S. P. Hillenbrand and B. H. Thomas, Developing a Location Based Tourist Guide Application vol. 05, p. 7, 2003. J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68-73.
  7. Fanjuan Shi,IAE , Chirine Ghedira Intention-based Online Consumer Classification for Recommendation and Personalization ,IEEE(2016).
  8. A. Yahi, A. Chassang, L. Raynaud, H. Duthil and D. H. Chau, Aurigo: An Interactive Tour Planner for Personalized Itineraries , p. 11, 2015.
  9. L. Rajapaksha, L. Jayasena, P. Samarakoon and G. Wijerathna, ” Web Based Intelligent Tour Planner and Advisor ”, Undergraduates, Sri Lanka Institute of Information Technology, 2015.
  10. Arsintescu, B., Gollapudi, S., Kollias, K., Sarlos, T., Tomkins, A. The 280 year old algorithm inside Google trips [Blog post]. Retrieved from.
Index Terms

Computer Science
Information Sciences

Keywords

Personalized Tour Plans Semantic-Matching 360 degree view Tour Suggestions

Powered by PhDFocusTM