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Female Daily Implicit Feedbacks' Interaction Dataset for Beauty Product Recimmendation (Fakultas Informatika, Data Science)
Female daily is a company who bring together expert editors and countless beauty enthusiasts into community via a discovery application. In this dataset, we obtain female daily implicit interaction to be used to recommend beauty product. We have developed and published a NMF based algorithm to generate product recommendation based on the rating prediction. Please kindly cite our publication entitled "Recommending Product using Non-negative Matrix Factorization with Implicit Feedback Interaction" on IndoJC.
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