Implementasi Collaborative Filtering Pada Aplikasi E-Commerce Penyewaan Costume Cosplay
DOI:
https://doi.org/10.55606/jupti.v3i1.2517Keywords:
Cosplay, Collaborative Filtering, Recommendation System, K-NNAbstract
Cosplay, a global popular cultural phenomenon, presents a challenge for cosplayers in obtaining suitable costumes. For instance, with the surge in cosplay events in Surabaya in July 2023, the development of a costume rental application could be a solution. This application allows cosplayers to easily rent costumes, reducing the cost and effort of creating their own attire. Utilizing Collaborative Filtering and K-Nearest Neighbor (K-NN) methods, the app will recommend costumes based on user interactions within an implicit feedback system. This research aims to create a practical and cost-effective solution for cosplayers in fulfilling their costume needs for cosplay events.
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