<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Female Daily Implicit Dataset</titl><IDNo agency="DOI">doi:10.34820/FK2/FFIOMB</IDNo></titlStmt><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><distDate>2022-04-01</distDate></distStmt><verStmt source="archive"><version date="2022-04-01" type="RELEASED">1</version></verStmt><biblCit>TOTO WIBOWO, AGUNG, 2022, "Female Daily Implicit Dataset", https://doi.org/10.34820/FK2/FFIOMB, Telkom University Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Female Daily Implicit Dataset</titl><IDNo agency="DOI">doi:10.34820/FK2/FFIOMB</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Universitas Telkom - Data Science">TOTO WIBOWO, AGUNG</AuthEnty></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Telkom University Dataverse</distrbtr><contact affiliation="Universitas Telkom - Data Science" email="agungtoto@telkomuniversity.ac.id">TOTO WIBOWO, AGUNG</contact><depositr>TOTO WIBOWO, AGUNG</depositr><depDate>2022-04-01</depDate></distStmt></citation><stdyInfo><subject><keyword>Computer and Information Science</keyword><keyword vocab="recommender system, implicit feedback, implicit interaction">recommender system, implicit feedback, implicit interaction</keyword></subject><abstract date="2022-03-31">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.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><biblCit>"Recommending Product using Non-negative Matrix Factorization with Implicit Feedback Interaction", IndoJC</biblCit></citation></relPubl></othrStdyMat></stdyDscr></codeBook>