Efficient Keyword-aware Representative Travel Route Recommendation (Aug-2017)

Aim:

The main aim of this project is to provide Travel Route recommendation for passionate travelers using community contributed pictures with GeoTagging, people attributes and textual information like keyword and image descriptions of photos available in Social Networking Sites.

Proposed system:

We propose a effiecient keyword aware travel plans recommendations when a user is about to visit a new place. In contrast to existing location based collaborative filtering methods, we learn users’ travel preferences from the text descriptions with keyword associated with their shared photos on social media, instead of from GPS trajectories or check-in records. In addition, users’ similarities are measured with author topic model instead of location co-occurrence.In the system extract the past experience person keyword based extraction.

Places are classified based on the geotag information, Number of Persons on the photo and can be later used with POI recommendation. In the travel route recommendation system, we utilize users’ topic preferences as the law for collaborative filtering instead of location co-occurrences. Dynamic travel plans are recommended to the user based on POI.