Personalized Travel Spot Recommendation based on Unsupervised Learning Approach

Tourism in Sri Lanka is an evolving field which is significantly influencing on the development of the country. With the rapid advancement of Affective computing and its' diverse paths where applications are being implemented by facilitating user needs and emotions, tourism has become one of the prominent fields to provide a comprehensive analysis of useful inclination in specific travel spots based on the user interests and emotions. Traditional tourism methodologies where a travel guide guides on a tourists' journey has nowadays become an old fashion where the tourist himself has innovative applications which provide a guide in almost all the areas in his journey beginning to end. This study proposes a solution where tourist gets a personalized recommendation on travel spots to visit based on his behavioral patterns observed in social media mainly in Facebook platform. This approach makes ease traveler's life providing personalized recommendations based on collaborative based and content based filtering approaches.