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Travel Package Recommendation System Based on Package Locations and Rating using Collaborative filtering algorithm.

Sonal Deshmukh1 , Dipali Jadhav2 , Pragati Sanap3 , Pratik V. Undre4 , Yogeshwari Mahajan5

  1. Computer Engineering, JSPM’s Imperial College of Engineering and Research, Pune, India.
  2. Computer Engineering, JSPM’s Imperial College of Engineering and Research, Pune, India.
  3. Computer Engineering, JSPM’s Imperial College of Engineering and Research, Pune, India.
  4. Computer Engineering, JSPM’s Imperial College of Engineering and Research, Pune, India.
  5. Computer Engineering, JSPM’s Imperial College of Engineering and Research, Pune, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 644-648, May-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i5.644648

Online published on May 31, 2018

Copyright © Sonal Deshmukh, Dipali Jadhav, Pragati Sanap, Pratik V. Undre, Yogeshwari Mahajan . 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: Sonal Deshmukh, Dipali Jadhav, Pragati Sanap, Pratik V. Undre, Yogeshwari Mahajan, “Travel Package Recommendation System Based on Package Locations and Rating using Collaborative filtering algorithm.,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.644-648, 2018.

MLA Style Citation: Sonal Deshmukh, Dipali Jadhav, Pragati Sanap, Pratik V. Undre, Yogeshwari Mahajan "Travel Package Recommendation System Based on Package Locations and Rating using Collaborative filtering algorithm.." International Journal of Computer Sciences and Engineering 6.5 (2018): 644-648.

APA Style Citation: Sonal Deshmukh, Dipali Jadhav, Pragati Sanap, Pratik V. Undre, Yogeshwari Mahajan, (2018). Travel Package Recommendation System Based on Package Locations and Rating using Collaborative filtering algorithm.. International Journal of Computer Sciences and Engineering, 6(5), 644-648.

BibTex Style Citation:
@article{Deshmukh_2018,
author = {Sonal Deshmukh, Dipali Jadhav, Pragati Sanap, Pratik V. Undre, Yogeshwari Mahajan},
title = {Travel Package Recommendation System Based on Package Locations and Rating using Collaborative filtering algorithm.},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {644-648},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2035},
doi = {https://doi.org/10.26438/ijcse/v6i5.644648}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i5.644648}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2035
TI - Travel Package Recommendation System Based on Package Locations and Rating using Collaborative filtering algorithm.
T2 - International Journal of Computer Sciences and Engineering
AU - Sonal Deshmukh, Dipali Jadhav, Pragati Sanap, Pratik V. Undre, Yogeshwari Mahajan
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 644-648
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

Over the decades, travel has toughened continuous growth and deepening diversification to become one amongst the quickest growing economic sectors within the world. Among the present move applications, solely one or two facilitate the flexibility to arrange a tour that is entirely supported user preferences, whereas giving an in-depth inspect the specified destination. Therefore, this analysis focuses on integration Semantic technologies and Collaborative filtering into the domain of travel and supply most well-liked user familiarized tour plans with superlative user satisfaction. Collaborative filtering is applied to spot a set of elective purpose of interested that maximize the potential satisfaction, whereas there are some pre-selected necessary points traveler should visit. The key issue that has to be understood is that the preferences or the behavior of one user is also entirely totally different from another. The system has introduced the idea of preferences and behavior based customized tour coming up with and also the approach of exploring desired routes.

Key-Words / Index Term

Personalized Tour Plans; Semantic-Matching; Tour Suggestions; Collaborative Filtering

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] 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.
[5] Jadhav Dipali, Sanap Pragati, Undre Pratik, Mahajan ogeshwari, Travel Package Recommendation System based on Package Locations and Rating, IJCA Volume 179 - Number 8.