Dynamic evolutionary clustering approach based on time weight and latent attributes for collaborative filtering recommendation

DOI10.1016/j.chaos.2018.06.011zbMath1492.62112OpenAlexW2816167487WikidataQ129555226 ScholiaQ129555226MaRDI QIDQ2000300

Jianrui Chen, Li Zhang, Lidan Wei, Uliji

Publication date: 28 June 2019

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2018.06.011

zbMATH Keywords

network modelcollaborative filteringforgetting curvedynamic evolutionary clusteringlatent attributes

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Deterministic network models in operations research (90B10)

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Cites Work

• Partition signed social networks via clustering dynamics
• Toward link predictability of complex networks
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