mis510proj, A very good use of web mining techniques and a wonder recommendation site

1. Welcome toMiWorld AndreyEsipov Prasad Avhad Scott Graddy WebMiners

2. Overview One stop shop for all of your travel research needs. Goal is to provide knowledge of popular tourist attraction that users may not know about. Provides descriptions, recommendations, pictures, location data, videos and newsfeeds about 100s of different destinations around the world.

3. Business Model Advertising Revenue Google Adsense Personal relevant webpage ads Partnerships Links to other travelpages Direct links to book flights to all listed destinations

4. Competitor Analysis

5. Architecture www.MiWorld.com Database

6. Data Mining K- Means Clustering Algorithm >1000 wonders in our database Divided the data in 4 clusters Recommend wonders based on users clicks E.g User clicks on some Island Recommended Wonders are Other Islands Other Natural Wonders

7. Data Mining Naïve Baiyes Classification using Weka Each wonder record has 24 attributes Manual entry for all 24 attributes using Wikipedia, National Geographic, Hillman Wonders and Famous Wonders.com Training set has 200 records Testing data is generated on the fly based on user selection 96% accuracy from classification

8. Webpage Tour Link To MiWorld

9. Future Refine the database Extend our functionality to include Trip Planning Tickets and Hotels

10. Thank You !