Open Access   Article Go Back

Applications of Social Media Mining and Skyline Processing on Travel Recommendation Systems a Survey

Uttra Kumar Verma1 , Jasmine Minj2

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 828-831, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.828831

Online published on Nov 30, 2018

Copyright © Uttra Kumar Verma, Jasmine Minj . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Uttra Kumar Verma, Jasmine Minj, “Applications of Social Media Mining and Skyline Processing on Travel Recommendation Systems a Survey,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.828-831, 2018.

MLA Style Citation: Uttra Kumar Verma, Jasmine Minj "Applications of Social Media Mining and Skyline Processing on Travel Recommendation Systems a Survey." International Journal of Computer Sciences and Engineering 6.11 (2018): 828-831.

APA Style Citation: Uttra Kumar Verma, Jasmine Minj, (2018). Applications of Social Media Mining and Skyline Processing on Travel Recommendation Systems a Survey. International Journal of Computer Sciences and Engineering, 6(11), 828-831.

BibTex Style Citation:
@article{Verma_2018,
author = {Uttra Kumar Verma, Jasmine Minj},
title = {Applications of Social Media Mining and Skyline Processing on Travel Recommendation Systems a Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {828-831},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3251},
doi = {https://doi.org/10.26438/ijcse/v6i11.828831}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.828831}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3251
TI - Applications of Social Media Mining and Skyline Processing on Travel Recommendation Systems a Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Uttra Kumar Verma, Jasmine Minj
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 828-831
IS - 11
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
451 345 downloads 290 downloads
  
  
           

Abstract

When arranging an excursion, clients dependably have particular inclinations with respect to their travels. Rather than confining clients to constrained inquiry alternatives, for example, areas, exercises, or eras, we consider self-assertive portrayals as catchphrases about customized necessities. This paper discusses travel recommendation techniques which help a user in finding tourist locations that he/she might like to visit a place from available user-contributed information and photos of that place available on sharing websites. This paper describes methods used to mine demographic information and provide travel recommendation to users. This paper also discusses skyline query processing.

Key-Words / Index Term

Information mining, Social Media Mining, Opinion Mining, Recommender Systems, Skyline proccessing

References

[1] Y.Wen, J.Yeo & W.Peng ,” An Efficient Keyword-Aware Representative Travel Route Recommendation”, IEEE Transactions on Knowledge and Data Engineering ( Volume: 29, Issue: 8, Aug. 1 2017 )
[2] K.Pachpande , M.Mohanan ,D.Zodage , H.Thakare4 & K.Jadhav,” Recommendation and suggestion System For Easy Tourism”, Volume 4, Issue 11, November -2017
[3] J.Li, Y.Yang, & W.Liu,” Exploring Personalized Travel Route Using POIs”, International Journal of Computer Theory and Engineering, Vol. 7, No. 2, April 2015.
[4] J.Zhang ,H. Kawasaki & Y.Kawai,” A Tourist Route Search System Based on Web Information and the Visibility of Scenic Sights”, Second International Symposium on Universal Communication, IEEE 2008.
[5] Subramaniyaswamy, Vijayakumar, Logesh & Indragandhi,” Intelligent travel recommendation system by mining attributes from community contributed photos”, Procedia Computer Science 50 ( 2015 ) 447 – 455
[6] K.Natarajan, J.Li & A.Koronios “Data Cleaning Techniques for data mining”, Proceedings of the 4th World Congress on Engineering Asset Management Athens, Greece ,Springer,2009
[7] K.C.Davis,K.Janakiraman & R.B.Davis,”Data Integration Using Data mining Techniques”, Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, May 14-16, 2002, Pensacola Beach, Florida,
[8] S.Beniwal & J.Arora,” Classification and Feature Selection Techniques in Data Mining” International Journal of Engineering Research & Technology (IJERT), Vol. 1 Issue 6, August - 2012
[9] R. Zafarani & M.A. Abbasi ,” Social media mining:An introduction”,Research gate , January 2014
[10] B.Seerat & F.Azam,” Opinion Mining: Issues and Challenges (A survey)”, International Journal of Computer Applications (0975 – 8887) Volume 49– No.9, July 2012
[11] S.Shah , A.Thakkar & Sonal Rami,” A Novel Approach for Making Recommendation using Skyline Query based on user Location and Preference”, Indian Journal of Science and Technology, Vol 9(30), DOI: 10.17485/ijst/2016/v9i30/99075, August 2016.
[12] J.Bao ,Y.Zheng , D.Wilkie &M.Mokbel, “Recommendations in Location-based Social Networks: A Survey”, Geoinformatica (2015) 19:525565 DOI 10.1007/s10707-014-0220-8.
[13] Jian-Guo Liu, Michael Z. Q. Chen, Jianchi Chen, Fei Deng, Hai-Tao Zhang, Zi-Ke Zhang, And Tao Zhou.” Recent Advances In Personal Recommender Systems”, International Journal Of Information And Systems Sciences, 2009.
[14] Y.G. patel &V.P.Patel,”A Survey on various techniques of Recommendation System on Web Mining”, 2015 IJEDR | Volume 3, Issue 4 | ISSN: 2321-9939