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Information retrieval / Social information processing / GroupLens Research / University of Minnesota / Collaborative filtering / Recommender system / Science / K-nearest neighbor algorithm / Information science / Human–computer interaction / Collaboration


Finding Group Shilling in Recommendation System1 Xue-Feng Su Computer Science and Technology Beijing University of Posts and Telecommunications Beijing[removed], P.R.China
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Document Date: 2005-04-05 10:19:20


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File Size: 153,50 KB

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City

Chiba / New York / /

Company

Pearson / /

Country

Japan / China / /

Currency

Shilling / /

/

Facility

Technology Beijing University of Posts / /

IndustryTerm

collaborative filtering recommendation algorithms / similarity spreading algorithm / online reputation reporting systems / Web-based services / online websites / Internet Technology / user-based algorithm / recommendation systems / user-user algorithm / “services / Web Conference / e - commerce / recommender systems / e-customers / recommendation system algorithms / online shilling / ecommerce area / /

Movie

Microsoft Research Asia / /

Organization

Recommendation System1 Xue-Feng Su Computer Science and Technology Beijing University of Posts and Telecommunications Beijing / /

Person

Hua-Jun Zeng Zheng Chen / /

Position

author / web administrator / /

ProvinceOrState

New York / /

SportsEvent

formula 1 / /

Technology

user-based algorithm / user-user algorithm / Internet Technology / item-based algorithm / KNN algorithm / recommendation system algorithms / Terms Algorithms / collaborative filtering recommendation algorithms / similarity spreading algorithm / /

SocialTag