Alleviating cold start and sparsity problems in the micro, small, and medium enterprises marketplace using clustering and imputation techniques
Sri Lestari,
Yulmaini Yulmaini,
Aswin Aswin
et al.
Abstract:Recommendation systems are often implemented in e-commerce and micro, small, and medium enterprises (MSMEs) marketplaces to improve consumer services by providing product recommendations according to their interests. However, it still faces problems, namely sparsity and cold start, thus affecting the quality of recommendations. This research proposes clustering and imputation techniques to overcome this problem. The clustering technique used is k-means, while the missing value imputation method uses average va… Show more
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