Dataset Persistent ID
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doi:10.34820/FK2/FFIOMB |
Publication Date
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2022-04-01 |
Title
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Female Daily Implicit Dataset
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Author
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TOTO WIBOWO, AGUNG (Universitas Telkom - Data Science) - ScopusID: 57195616672
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Contact
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Use email button above to contact.
TOTO WIBOWO, AGUNG (Universitas Telkom - Data Science)
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Description
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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. (2022-03-31)
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Subject
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Computer and Information Science
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Keyword
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recommender system, implicit feedback, implicit interaction (recommender system, implicit feedback, implicit interaction)
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Related Publication
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"Recommending Product using Non-negative Matrix Factorization with Implicit Feedback Interaction", IndoJC
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Depositor
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TOTO WIBOWO, AGUNG
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Deposit Date
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2022-04-01
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