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A good website for wonder recommendations.

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  1. 1. Welcome toMiWorld<br />AndreyEsipov<br />Prasad Avhad<br />Scott Graddy<br />WebMiners<br />
  2. 2. Overview<br />One stop shop for all of your travel research needs.<br />Goal is to provide knowledge of popular tourist attraction that users may not know about. <br />Provides descriptions, recommendations, pictures, location data, videos and newsfeeds about 100s of different destinations around the world.<br />
  3. 3. Business Model<br />Advertising Revenue<br />Google Adsense<br />Personal relevant webpage ads<br />Partnerships<br />Links to other travelpages<br />Direct links to book flights to all listed destinations<br />
  4. 4. Competitor Analysis<br />
  5. 5. Architecture<br /><br />Database<br />
  6. 6. Data Mining<br />K- Means Clustering Algorithm<br />>1000 wonders in our database<br />Divided the data in 4 clusters<br />Recommend wonders based on users clicks<br />E.g User clicks on some Island<br />Recommended Wonders are<br />Other Islands<br />Other Natural Wonders<br />
  7. 7. Data Mining<br />Naïve Baiyes Classification using Weka<br />Each wonder record has 24 attributes<br />Manual entry for all 24 attributes using Wikipedia, National Geographic, Hillman Wonders and Famous<br />Training set has 200 records<br />Testing data is generated on the fly based on user selection<br />96% accuracy from classification<br />
  8. 8. Webpage Tour <br />Link To MiWorld<br />
  9. 9. Future <br />Refine the database<br />Extend our functionality to include<br />Trip Planning <br />Tickets and Hotels<br />
  10. 10. Thank You !<br />