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Wet Your Whistle

Wet Your Whistle. Ashley Ampar án Jagdeep Kalsi Hyung Koo Lee Nikunj Kshatriya May 16, 2008. Agenda. Introduction Business Model Competitors Functionalities/Features Architecture Spidering/Data Mining Novelty Team Contribution. Introduction.

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Wet Your Whistle

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  1. Wet Your Whistle Ashley Amparán Jagdeep Kalsi Hyung Koo Lee Nikunj Kshatriya May 16, 2008

  2. Agenda • Introduction • Business Model • Competitors • Functionalities/Features • Architecture • Spidering/Data Mining • Novelty • Team Contribution

  3. Introduction • Single location for information about breweries, photos, videos, etc. related to certain beers. • Recommendations and other relevant information available to users with various levels of expertise

  4. Business Model • Customers • beer lovers who want to easily get comprehensive beer information • Financial Opportunities • private investment/receive funding for developing/maintaining the site • profit from advertising (Google, AdSense) • Potential Business Partners • individuals and/or businesses who want to sell beer and food products/services • beer vendors, breweries etc.

  5. Competitors • Sites that have information about beer and beer types in general • None have a comprehensive beer recommendation system. • User has to collect information about each kind of beer type separately and then look for brands that are in the market place.

  6. Comparison of Competitors

  7. Functionalities/Features • Beer Search • Beer Recommendations • Mash-Up • Google AdSense • Flickr, YouTube • Google Events Calendar • RSS

  8. Architecture

  9. Spidering/Data Mining • Spidering • Total data in the database: 27,000 beers out of which 14,000 have complete information • Entire hierarchical structure of beer styles • Data Mining/Algorithms • WEKA - Simple k-Means Algorithm

  10. Novelty • A comprehensive mash-up including YouTube, Flickr, and Google API's • Recommendations of beer • Within same beer style • From other beer styles • Similar beer styles • Visual representation of the hierarchy of beer styles for a more intuitive flow through the site

  11. Team Contribution • Ashley • Google AdSense, Front end design, Project Mgmt • Nikunj • Architecture, Front end design, YouTube • Jagdeep • Spidering, Data Mining, Database • Lee • Data Mining, Flickr, Database

  12. Resources • http://beerpal.com/vault - Beer database for complete beer information • www.youtube.com – Youtube videos • www.flickr.com – Flickr Photos • www.nyt.com – Beer News • www.beeradvocate.com – Beer Events • www.2flashgames.com – Beer Games • www.addictinggames.com – Beer Games

  13. Questions ?

  14. Index • Introduction • Business Model • Competitors • Functionalities/Features • Architecture • Spidering/Data Mining • Novelty • Team Contribution • Resources

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