• G Kavitha
• Mr.R.Rajasekhar

Online Social Networks (OSNs) are widely used by people to share their activities related to travelling, check-in and others. Thus the mobility of users is recorded in social media. Such data can be used to perform travel planning. People often have travel plans with preferences. Maintaining travel histories of people with personalization can help in making future decisions with ease. However, it is non-trivial to have queries processed with the help of previous history of knowledge and to produce more useful personalized representative travel recommendations. The notion of point of interest apart for giving search keywords can help users express more skyline options in order to help in effective processing. The concept of finding representative travel recommendations that consider POIs and other user parameters besides historical skylines is an important research to be carried out. In the proposed system, the keyword-aware representative travel route recommendation system is further improved to support the use of previously repeated queries and to learn the approximate parameters automatically. Thus the system becomes a knowledge based keyword-aware representative travel route recommendation system to reduce computational cost and improve response time. An algorithm by name Knowledge based Query Processing (KQP) is used to achieve this. We built a prototype application with web interface to demonstrate proof of the concept. The experimental results revealed the utility of the proposed solution.

Online social network, location-based OSN, text mining, recommender system

"Knowledge Based Keyword-Aware Representative Travel Route Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.826-830, June-2018, Available :http://www.jetir.org/papers/JETIR1806367.pdf

"Knowledge Based Keyword-Aware Representative Travel Route Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp826-830, June-2018, Available at : http://www.jetir.org/papers/JETIR1806367.pdf