Titlebook: Behavior and Social Computing; International Worksh Longbing Cao,Hiroshi Motoda,Ya Zhang Conference proceedings 2013 Springer International

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A Network-Based Approach for Collaborative Filtering Recommendationfrom many users. A substantial part of collaborative filtering centers on similarity computation. The most popular similarity metrics are Pearson correlation, cosine constrained Pearson’s correlation, Spearman rank correlation and mean squared difference. In this paper, we propose a new metric to co

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RNRank: Network-Based Ranking on Relational Tuplesdatabase together. A relational database can be viewed as a network of tuples connected via foreign keys. With respect to the semantics defined over the foreign keys, the most referenced tuples, therefore, can be regarded as either the most influential, relevant, popular, or authoritative objects st

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https://doi.org/10.1007/978-3-319-04048-6data mining; evolutionary analysis; network-based ranking; recommender systems; social networks