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Information systems / Science / Collaboration / Social information processing / Information retrieval / Collaborative filtering / Recommender system / Cold start / Cluster analysis / Statistics / Information science / Collective intelligence


Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering Tavi Nathanson Ephrat Bitton
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Document Date: 2007-08-31 03:30:28


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File Size: 229,08 KB

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City

York / Minneapolis / /

Company

Wilson / Applying Automated Recommender Systems / Pearson / Amazon.com / /

Country

United States / /

Currency

USD / /

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Facility

EECS Departments University of California / Berkeley Automation Sciences Lab IEOR Department University of California / /

IndustryTerm

data mining techniques / k-means algorithm / respective algorithms / item-based collaborative filtering algorithms / constant online time solution / recommendation algorithms / online joke recommender system / constant-time algorithm / constant online time / collaborative filtering recommender systems / constant-time collaborative filtering algorithm / adaptive algorithm / Internet Computing / constant time collaborative filtering algorithm / item-based collaborative filtering algorithm / dot product / invariant collaborative filtering systems / collaborative filtering algorithm / recommender systems / Online Joke Recommender Jester / online survey / /

MarketIndex

SET 100 / /

Organization

Recommender System Using Item Clustering Tavi Nathanson Ephrat Bitton Ken Goldberg Automation Sciences Lab EECS Department University / Berkeley Automation Sciences Lab IEOR Department University / University of California / Berkeley / /

Person

Chuck Norris / Ken Goldberg / /

Position

General / /

ProvinceOrState

Minnesota / /

Technology

recommendation algorithms / constant-time algorithm / item-based collaborative filtering algorithms / item-based collaborative filtering algorithm / k-means algorithm / constant-time collaborative filtering algorithm / collaborative filtering algorithm / memory-based CF algorithm / clustering algorithm / data mining / respective algorithms / user-based algorithms / adaptive algorithm / 2.0 algorithm / constant time collaborative filtering algorithm / /

URL

http /

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