Efficient Keyword-Aware Representative Travel Route Recommendation

Authors(2) :-Dr. G. Anandharaj, R. Kavitha

Location-based network (LBN) services enable users to perform check in and share their check-in data with their companions. In particular, when a user is traveling, the check-in data are in actuality a travel route with some photographs and tag data.As an outcome, a massive number of routes are generated, which assume an essential role in many well-established research areas, for example mobility prediction, urban planning and traffic management. In this paper, we focus on trip planning and plan to discover travel experiences from shared information in location based social networks. To encourage trip planning, the earlier works in give an interface in which a user could submit the query region and the total travel time.

Authors and Affiliations

Dr. G. Anandharaj
Assistant Professor, PG & Research Department of Computer Science and Applications, Adhiparasakthi College of Arts and Science (Autonomous), G.B.Nagar, Kalavai, Vellore, Tamil Nadu, India
R. Kavitha
M.Phil (CS) Research Scholar, PG & Research Department of Computer Science and Applications, Adhiparasakthi College of Arts and Science (Autonomous), G.B.Nagar, Kalavai, Vellore, Tamil Nadu, India

Location-based social network, text mining, travel route recommendation

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Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 330-337
Manuscript Number : IJSRSET184965
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Dr. G. Anandharaj, R. Kavitha, " Efficient Keyword-Aware Representative Travel Route Recommendation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.330-337, July-August-2018.
Journal URL : http://ijsrset.com/IJSRSET184965

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