A cluster validity for optimal configuration of Kohonen maps in e-learning recommendation

نویسندگان

چکیده

the first block of our unsupervised deep collaborative recommendation (UDCF) system and proposes a platform whose goal is to try find adequate parameters Kohonen maps, create homogeneous clusters in profile data results, homogeneity verified thanks very low variance rate results obtained by cluster population second criterion which high prediction recommendation. Although revision concerns only clustering block, use symmetrical autoencoder without searching for its optimization, result (82.33%) optimal configurations with map equivalent optimized UDCF even better than classical methods

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ژورنال

عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science

سال: 2022

ISSN: ['2502-4752', '2502-4760']

DOI: https://doi.org/10.11591/ijeecs.v26.i1.pp482-492