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Improving the item to item algorithm of collaborative filtration method for the development of recommendation systems based on the cosine measure by relevant assessment
Author(s) -
Vladimir Kucheruk,
Mikhail Hlushko
Publication year - 2018
Publication title -
sciencerise
Language(s) - English
Resource type - Journals
eISSN - 2313-8416
pISSN - 2313-6286
DOI - 10.15587/2313-8416.2018.120886
Subject(s) - cosine similarity , measure (data warehouse) , discrete cosine transform , trigonometric functions , filtration (mathematics) , algorithm , computer science , similarity (geometry) , basis (linear algebra) , function (biology) , data mining , matrix (chemical analysis) , artificial intelligence , mathematics , pattern recognition (psychology) , statistics , evolutionary biology , biology , materials science , geometry , composite material , image (mathematics)

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