致敬
发表于 2025-3-23 10:03:51
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
anchor
发表于 2025-3-23 17:34:42
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EWE
发表于 2025-3-23 19:10:23
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
嘴唇可修剪
发表于 2025-3-24 01:34:24
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积云
发表于 2025-3-24 04:46:21
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conflate
发表于 2025-3-24 09:51:07
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addict
发表于 2025-3-24 13:57:19
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固执点好
发表于 2025-3-24 16:34:59
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SCORE
发表于 2025-3-24 21:41:42
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NADIR
发表于 2025-3-25 00:53:11
https://doi.org/10.1007/978-3-319-04048-6data mining; evolutionary analysis; network-based ranking; recommender systems; social networks