• Kothekar Vallabha
• Barhate Tejaswi
• Jadhav Shubhangi
• Londhe Poonam

Few years ago there wasn’t any social media and local guidance/travelogues guide to the tourist or travelers to give information about visited city or place. However currently a days we’ve ton of data offered within the variety of travel logs and community contributed photos and conjointly the heterogeneous information (e.g., tags, comments, location, and captured date) is with these photos, huge social media, specially the flourish of social media (e.g., Facebook, Flick, Twitter, Google, etc.), using this data we are recommending traveller personalized travel sequence but it is big challenge for both research and industry. The motivation of this method is to review the currently existing travel recommendation systems, by considering different aspects like accuracy, personalized sequence, learning algorithms, budget of traveller and mapping cost for travel sequence recommended. We have studied and analyzed different travel sequence recommendation systems overview of these is given in this paper.

POIs, Travel Recommendation, Geo tag, Latitude, Longitude, Information retrieval.

"SURVEY OF PERSONALIZED TRAVEL SEQUENCE RECOMMENDATION ON MULTI SOURCE BIG SOCIAL MEDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.256-259, May-2019, Available :http://www.jetir.org/papers/JETIRBO06048.pdf

"SURVEY OF PERSONALIZED TRAVEL SEQUENCE RECOMMENDATION ON MULTI SOURCE BIG SOCIAL MEDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp256-259, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06048.pdf