Demo 2

Welcome to MiWorldAndrey Esipov

Prasad Avhad

Scott Graddy

WebMiners

WebMiners

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.

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Business Model

Advertising Revenue Google Adsense Personal relevant webpage ads

Partnerships Links to other travelpages Direct links to book flights to all listed destinations

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Competitor Analysis

 

Famouswonders Hillmanwonders MiWorld

List of Famous Wonders Yes Yes Yes

Wonder description Yes Yes Yes

Location of wonder on the map No No Yes

Photo galleries Yes No Yes

Video of different wonders No No Yes

Current travel news information No No Yes

Recommendation on what wonders to visit based on user preferences

No No Yes

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Architecture

Mining Layer

Database

www.MiWorld.com

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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

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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

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Webpage Tour

Link To MiWorld

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Future

Refine the database Extend our functionality to include

Trip Planning Tickets and Hotels

Demo 2