• Sanat Mistry
• Saish Narvekar
• Pranit Rale
• Robinsali Maredia
• Aarti Puthran

Growth in technology has led to generation of vast amount of data and information on the internet. Due to this information overload, it is likely that a reduction in decision quality will occur. As a solution, the Itinerary Recommendation System enables ease for the people who find it difficult to plan a vacation. This system sets up the user with some interesting itineraries based on his/her preferences. This is achieved by a combination of two methods viz. Content-based filtering and Collaborative filtering. By eliminating the places that the user is not likely to visit, we obtain the Point of Interests (POIs) that are favoured by the users. The system will be provided to the user in the form of a Website. With the help of some clicks and spending a few minutes on the website, one can plan an ideal vacation with utmost ease and efficiency.

Recommendation System, Content-based Filtering, Collaborative Filtering

"Itinerary Recommendation System based on Content-based and Collaborative Filtering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.391-392, April-2019, Available :http://www.jetir.org/papers/JETIR1904J51.pdf

"Itinerary Recommendation System based on Content-based and Collaborative Filtering", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp391-392, April-2019, Available at : http://www.jetir.org/papers/JETIR1904J51.pdf