Information filtering based on corrected redundancy-eliminating mass diffusion

Abstract

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 bipartite network, we propose a Corrected Redundancy-Eliminating similarity index (CRE) which is based on a spreading process on the network. Extensive experiments on three benchmark data sets—Movilens, Netflix and Amazon—show that when used in recommendation, the CRE yields significant improvements in terms of recommendation accuracy and diversity. A detailed analysis is presented to unveil the origins of the observed differences between the CRE and mainstream similarity indices.

Single‐shot Mueller‐matrix imaging of zebrafish tissues: In vivo analysis of developmental and pathological features

“…Danio rerio (zebrafish) has become an important vertebrate model organism in developmental biology [1–4], modeling human diseases [5–15], toxicity studies [16–18] and drug testing [19–21]. Decoded genome, ease of maintenance, high breeding capacity, large embryonic production and fast development make zebrafish an effective and versatile object for the whole life cycle assessments [16, 22] and multi‐generational experiments [23–25].…”

“…Danio rerio (zebrafish) has become an important vertebrate model organism in developmental biology [1–4], modeling human diseases [5–15], toxicity studies [16–18] and drug testing [19–21]. Decoded genome, ease of maintenance, high breeding capacity, large embryonic production and fast development make zebrafish an effective and versatile object for the whole life cycle assessments [16, 22] and multi‐generational experiments [23–25]. Small size and optical transparency of zebrafish at early developmental stages enable direct visualization of its tissues required for understanding of organ growth and morphogenesis [26–29], cardiac patterning [30–34] and other applications.…”