User specific xenogogy from social media

In this paper, we represent a user specific travel route recommendation by extracting and analysing data from social media. Our approach is not only specific to user's interests but also involves recommending POIs(Points of Interest) in travel as a sequence from source to destination with few waypoints according to user's interest and affordability. Similar users are mined using LCF (Location based collaborative filtering algorithm) based on their travel history, interests and affordability. The route is recommended based on similarity between user package and route package. Route optimisation is done by similar user's travel records. The hotels and restaurants along the recommended route are highlighted.