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Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks
Link prediction is an attractive research topic in the field of data mining and has significant applications in improving performance of recommendation system and exploring evolving mechanisms of the complex networks. A variety of complex systems in real world should be abstractly represented as bip...
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| Veröffentlicht in: | Sci Rep |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5717264/ https://ncbi.nlm.nih.gov/pubmed/29208988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-17157-9 |
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