Personalizing Places of Interest Using Social Media Analysis

Mentor: Dr. Praveen Madiraju

Description: Travelers are always looking for easier ways to discover places of interest within a city and we believe an approach that can personize results will be more effective at providing recommendations for travel than current resources such as travel books and websites.

We propose that social media can be used to help an application tailor its results for a travel destination for the needs of an individual. People post the activities they enjoy and the places they frequent on social media websites such as Twitter and this data can be analyzed using machine learning techniques to give the application a better idea of the results the user would want to see most.