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 experiences to facilitate trip planning. When planning a trip, users always have specific preferences regarding their trips. Instead of restricting users to limited query options such as locations, activities, or time periods, we consider arbitrary text descriptions as keywords about personalized requirements.
Keywords
Location-based social network, text mining, travel route recommendation.
Citations
IRE Journals:
T. Siva Sankar , N. Koteswaramma , B. Lakshmi Praveena
"Efficient Keyword-Aware Representative Travel Route Recommendation(Trip Advisor)" Iconic Research And Engineering Journals Volume 1 Issue 10 2018 Page 5-8
IEEE:
T. Siva Sankar , N. Koteswaramma , B. Lakshmi Praveena
"Efficient Keyword-Aware Representative Travel Route Recommendation(Trip Advisor)" Iconic Research And Engineering Journals, 1(10)
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