Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

A Survey on Travel Based Application using Social Media

Author : Shanker Shalini 1 Dr.M.Sheerin Banu 2

Date of Publication :7th March 2017

Abstract: Big data provides analysis of large amount of dataset and accurate result can be obtained using this dataset analysis. When considering travel application many user opt for static travel planning without any now feature that incorporates in the application. Blindly they agree any travel plan that’s been listed in the application. In this paper various analysis is done and survey is been done to make user friendly travel application so that user can specify their Point Of Interest (POI) and as such planning is done dynamically based on users location with the help of geo-tagging and collaborative filtering. We find here what are all recommendation system that can suitable to incur in the travel application with the help of geo-tagging and location based filtering. Thus to find user friendly travel based application this survey is done.

Reference :

    1. Yuan, G. Cong, and A. Sun, “Graph-based point- ofinterest recommendation with geographical and temporal influences,” in Proc. 23rd ACM Int. Conf. Inform. Knowl. Manage., 2014, pp. 659–668
    2. H. Yin, C. Wang, N. Yu, and L. Zhang, “Trip mining and recommendation from geo-tagged photos,” in Proc. IEEE Int. Conf. Multimedia Expo Workshops, 2012, pp. 540–545..
    3. Zhang and K. Wang, “POI recommendation through crossregion collaborative filtering,” Knowl. Inform. Syst., vol. 46, no. 2, pp. 369–387, 2016.
    4. P. Lou, G. Zhao, X. Qian, H. Wang, and X. Hou, “Schedule a rich sentimental travel via sentimental POI mining and recommendation,” in Proc. 20th ACM Int. Conf. Multimedia Big Data, 2016, pp. 33–
    5. X.Qian,Y.Xue,X.Yang,Y.Y.Tang,X.Hou,andT. Mei,“Landmark summarization with diverse viewpoints,” IEEE Trans. Circuits Syst. VideoTechnol.,vol.25,no.11,pp.1857– 1869,Nov.2015.
    6. Y. Lyu, C.-Y. Chow, R. Wang, and V. C. Lee, “Using multi-criteria decision making for personalized point-ofinterest recommendations,” in Proc. 22nd ACM SIGSPATIAL Int. Conf. Adv. Geographic Inf. Syst., 2014, pp. 461–464
    7. X. Qian, Y. Zhao, and J. Han, “Image location estimation by salient region matching,” IEEE Trans. Image Process., vol. 24, no. 11, pp. 4348–4358, Nov. 2015.
    8. Q. Hao, R. Cai, X. Wang, J. Yang, Y. Pang, and L. Zhang, “Generating location overviews with images and tags by mining user-generated travelogues,” in Proc. 17th ACM Int. Conf. Multimedia, 2009, pp. 801–804
    9. Liu, T. Mei, J. Luo, H. Li, and S. Li, “Finding perfect rendezvous on the go: Accurate mobile visual localization and its applications torouting, ”inProc. 20thAC MInt. Conf. Multimedia,2 012,pp.9–18
    10. J. Li, X. Qian, Y. Y. Tang, L. Yang, and T. Mei, “GPS estimation for places of interest from social users’ uploaded photos,” IEEE Trans. Multimedia, vol. 15, no. 8, pp. 2058– 2071, Dec. 2013
    11. S. Jiang, X. Qian, J. Shen, Y. Fu, and T. Mei, “Author topic model based collaborative filtering for personalized POI recommendation,”IEEETrans.Multimedia,vol.17,n o.6,pp.907–918,Jun.2015.
    12. J. Sang, T. Mei, T. J. Sun, S. Li, and C. Xu, Probabilistic sequential POIs recommendation via check-in data,” in Proc. ACM SIGSPATIAL Int. Conf. Adv. Geographic Inform. Syst., 2012, pp. 402–405 individual location history,” ACM Trans. Web, vol. 5, no. 1, p. 5, 2011.
    13. H. Gao, J. Tang, X. Hu, and H. Liu, “Content- aware point of interest recommendation on location- based social networks,” in Proc. 29th Int. Conf. AAAI, 2015, pp. 1721– 1727.
    14. Gao, J. Tang, R. Hong, Q. Dai, T. Chua, and R. Jain, “W2go: A travel guidance system by automatic landmark ranking,” in Proc. Int. Conf. Multimedia, 2010, pp. 123–132.
    15. Y. Zheng, L. Zhang, Z. Ma, X. Xie, and W. Ma, “Recommending friends and locations based on individual location history,” ACM Trans. Web, vol. 5, no. 1, p. 5, 2011.
    16. H. Gao, J. Tang, X. Hu, and H. Liu, “Content- aware point of interest recommendation on location- based social networks,” in Proc. 29th Int. Conf. AAAI, 2015, pp. 1721– 1727.
    17. Gao, J. Tang, R. Hong, Q. Dai, T. Chua, and R. Jain, “W2go: A travel guidance system by automatic landmark ranking,” in Proc. Int. Conf. Multimedia, 2010, pp. 123–132.

Recent Article