self introduction
TRANSCRIPT
http://degulab.cs.dis.titech.ac.jp/~umeda07/Deguchi Lab.
Self-Introduction
name Takashi UMEDA
biography 1985 born in gifu pref.
2003~2007 Faculty of Informatics, Shizuoka Univ.
2007~2009 Deguchi Lab, Dep.of Computational
Intelligence and Systems Science, Tokyo Institute
Of Techology
Research Interest Recommendation algorithms,
Information diffusion on the Internet,
Consumer behavior on EC,
Bachelor’s thesis The research into direct financing in Silicon Valley
by Agent Based Modeling
master's thesis Evaluation of Collaborative Filtering by Agent-Based
Simulation in the light of a market environment
URL http://degulab.cs.dis.titech.ac.jp/~umeda07/
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http://degulab.cs.dis.titech.ac.jp/~umeda07/Deguchi Lab.
Research Interest1/3 (Objective)
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– なぜ協調フィルタリングか?:
• 最もポピュラー
• 特にユーザベース手法に焦点
– なぜABSか?: • 市場構造を考慮可能
– 分析内容:• ネイバー数と市場構造の関係
• ネイバー数:パラメータの1つ
Evaluating and designing the recommendation algorithm on EC in the light of the market environments
It is able to give some useful knowledge about the recommendation for people who are engaged in web marketing, web system or EC business.
Recommendation: Collaborative Filtering
• Amazon.com• user base CF
Method: ABS• It is possible to model the interaction with market environment and recommendation
Objectives
http://degulab.cs.dis.titech.ac.jp/~umeda07/Deguchi Lab.
Research Interest 2/3 (model)
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EC Site• item-1(category1)• item-2(category2)• item-3(category3)
consumer
consumer
consumer
buy
recommend
buy
recommend
buy
recommend
Consumer model
Each consumer has some
parameters that are used to decide
what he buys.
Recommendation model
Collaborative Filtering(k-nearest neighbor )
Each item sold in the EC Website belongs to one category
http://degulab.cs.dis.titech.ac.jp/~umeda07/Deguchi Lab.
Resarch Interest 3/3(Implement)
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SOARS(.vml) Consumer’s decision making
Collaborative Filtering
Consumer Agent
EC Spot
Consumer’s preference
Item’s attribute
External Object (.Java)Data File (.CSV)
Sinario
Result
Execute! The simulation is executed on the Grid machines.