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Integrating Triangle and Jaccard similarities for recommendation
This paper proposes a new measure for recommendation through integrating Triangle and Jaccard similarities. The Triangle similarity considers both the length and the angle of rating vectors between them, while the Jaccard similarity considers non co-rating users. We compare the new similarity measur...
Sparad:
I publikationen: | PLoS One |
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Huvudupphovsmän: | , , , , , , |
Materialtyp: | Artigo |
Språk: | Inglês |
Publicerad: |
Public Library of Science
2017
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Ämnen: | |
Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5560696/ https://ncbi.nlm.nih.gov/pubmed/28817692 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0183570 |
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