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Science / Human–computer interaction / Information systems / Collaboration / Recommender system / Collaborative filtering / GroupLens Research / Cold start / Similarity / Information science / Information retrieval / Collective intelligence


Analyzing Weighting Schemes in Collaborative Filtering: Cold Start, Post Cold Start and Power Users Alan Said Brijnesh J. Jain
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Document Date: 2012-06-06 10:21:09


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File Size: 2,47 MB

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Berlin / San Francisco / Euclidean / New York / /

Company

Pearson / Cambridge University Press / ACM Press / Recommender Systems / /

Country

United States / /

Currency

USD / /

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IndustryTerm

predictive algorithms / online world / domain systems / weighted inner product / social bookmarking systems / /

Organization

Cambridge University / German Federal Ministry of Economics and Technology / /

Person

John T. Riedl / John Riedl / Martin Ester / Jonathan L. Herlocker / Ruimin Shen / Al Borchers / Panagiotis Symeonidis / Loren G. Terveen / Joseph A. Konstan / Alexander Felfernig / Alexandros Nanopoulos / Markus Zanker / Xiaowei Xu / Hans-Peter Kriegel / Heng Luo / Yannis Manolopoulos / Rong Jin / Dietmar Jannach / Changyong Niu / Kai Yu / Luo Si / Joyce Y. Chai / Carsten Ullrich / Alan Said Brijnesh / Riva del Garda / /

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Position

author / Selection process General / MP / model the relationship / /

ProvinceOrState

New York / California / /

PublishedMedium

Machine Learning / /

Technology

Machine Learning / /

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http /

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