• Stephen Carvalho
• Aquinas Correia
• Deborah Kammu

Planning a travel itinerary to an unfamiliar destination requires a lot of work and effort to design a desirable travel plan. Especially nowadays, with the amount of tourism information available on the internet, it is really difficult to curate a trip plan from the plethora of choices given to you online. Unlike most travel recommendations systems which recommend itineraries based on user ratings, in this paper we seek to solve the problem using a hybrid recommendation algorithm that is based upon collaborative and content-based filtering algorithms. The hybrid algorithm combines recommendations of both the filtering algorithms to get the best results and in doing it so also overcomes many of the disadvantages possessed by both the algorithms, as the disadvantage of one is overcome by an advantage of the other. The goal of the research presented in this paper is to help tourist overcome the complex task of Identifying, Organizing and planning a trip that comprises popular and interesting points of interest. The system offers personalized recommendations to the users based on their interests and travel history, and other metadata of a given location.

Recommendation Systems, Collaborative Filtering, Content Based-Filtering, Travel, Point of Interests

"Trip Planning Using Hybrid Recommendation Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.900-905, April-2019, Available :http://www.jetir.org/papers/JETIR1904G41.pdf

"Trip Planning Using Hybrid Recommendation Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp900-905, April-2019, Available at : http://www.jetir.org/papers/JETIR1904G41.pdf