Personalized Travel Spot Recommendation and Guidance System for Sri Lankan Tourists

Abstract

Tourism in Sri Lanka is an evolving field which is significantly influencing 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, a summary of the recommended travel spots with a native language translation facility and a translating system to translate landmarks displayed on travel spots such as notice boards and signboards into their native language. Our system divided into four components focusing on (a) profiling users, (b) identifying user locations and travel spots, (c) extracting user reviews about travel spots, summarize and analyse sentiments levels and (d) identifying landmarks displayed in travel spots and translate them into traveller’s native language. This approach makes ease traveller’s life providing personalized recommendations based on collaborative and content filtering approaches.