<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Female Daily Implicit Dataset</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/FFIOMB</dcterms:identifier><dcterms:creator>TOTO WIBOWO, AGUNG</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-04-01</dcterms:issued><dcterms:modified>2022-04-01T02:11:49Z</dcterms:modified><dcterms:description>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.</dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>recommender system, implicit feedback, implicit interaction</dcterms:subject><dcterms:isReferencedBy>"Recommending Product using Non-negative Matrix Factorization with Implicit Feedback Interaction", IndoJC</dcterms:isReferencedBy><dcterms:contributor>TOTO WIBOWO, AGUNG</dcterms:contributor><dcterms:dateSubmitted>2022-04-01</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>