Information filtering based on corrected redundancy-eliminating mass diffusion

Methods used in information filtering and recommendation often rely on quantifying the similarity between objects or users. The used similarity metrics often suffer from similarity redundancies arising from correlations between objects' attributes. Based on an unweighted undirected object-user...

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Veröffentlicht in:	PloS one Jg. 12; H. 7; S. e0181402
Hauptverfasser:	Zhu, Xuzhen, Yang, Yujie, Chen, Guilin, Medo, Matus, Tian, Hui, Cai, Shi-Min
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 27.07.2017 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Area Under Curve Automatic classification Automatic indexing Biology and Life Sciences Collaboration Communications networks Computer and Information Sciences Computer Communication Networks Customers Databases as Topic Diffusion Electronic commerce Filtration Methods Physical Sciences Recommender systems Redundancy Research and Analysis Methods Similarity Social Sciences Sparsity Beijing China China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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