Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
P.Rama Rao Shaik Latheef Basha Shaik Minhaaz Ali
Abstract
With The Popularity Of Social Media (e.g., Facebook And Flicker), Users Can Easily Share Their Check-in Records And Photos During Their Trips. In View Of The Huge Number Of User Historical Mobility Records In Social Media, We Aim To Discover Travel Experi
Keywords
Location-based Social Network
Text Mining
Travel Route Recommendation
Paper ID
IJSARTV4I321335
Publication Date
March 9, 2018
Research Area
CSE