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CollegeAdvisor.com. Li Fan (Brian) Shuo Zeng (Sean) Xinlei Zhao (Ray). May 04, 2009 . Introduction Objective Competitors Design architecture Data mining Team participation Conclusion. Agenda.

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slide1

CollegeAdvisor.com

Li Fan (Brian)

Shuo Zeng (Sean)

Xinlei Zhao (Ray)

May 04, 2009

slide2
Introduction

Objective

Competitors

Design architecture

Data mining

Team participation

Conclusion

Agenda

slide3
565,039 international students study at graduate schools in the United States in 2006 (Open Doors 2006)

No one-stop, content-rich, information sources can help prospective students to make decisions

Introduction

slide4
Rich information and data sources about diversified characteristics for universities

Ranking data for academic majors covering different domains

Recommendation and tailored services to international students

Objectives

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Competitors

“Ranking Sites”: provide the ranking and university profiles

http://www.usnews.com

http://www.petersons.com

http: //www.gradschools.com

“Recommendation Sites”: provide basic recommendation based on academic attributes

http://www.anycollege.com/

http://www.phds.org

Competitors

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Ranking Data

2009 U.S. News & World Report

Ranking data from 11 domains (e.g. business, engineering) including 61 majors (e.g. MIS, CS)

College Profile Data

Admission requirement data (GPA, TOEFL, GRE/GMAT)

Profile data (e.g. tuition, number of student, city scale, temperature, transportation) for nearly 200 universities

Data Collection

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Create a vector space of university attributes

Ranking

Number of graduate students

Number of international graduate students

International tuition

Scale of city/town

Living cost

Local average income

Public transport convenience

Average temperature

Provide a questionnaire to collect users’ preferences for each of the attributes

Recommend the proper universities whose attributes are closed to the users’ preferences

Data Mining

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Use the Jaccard function to calculate the similarity between universities and users’ preferences

where Xiis the vector of the ith university

Y is the vector of user preferences

Data Mining

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No other site provides rich information about the university profile (videos, pictures, news, location)

Fill this gap with six APIs

Multi-media content

No other site offers a robust recommendation systems to students

Diversified attributes for selection for users

Customized services for users

Calendar

Novelty

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Li Fan

Data parsing

Data spidering

Database design, implementation and administration

Xinlei Zhao

Business model

Web & functions design

Data collection & data mining

Shuo Zeng

Web implementation

API implementation (google, Youtube, Flikr)

Data mining component implementation

Team