Data quality in recommender systems: the impact of completeness of item content data on prediction accuracy of recommender systems

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@article{a22e135b0fb14272a72fd9cdca93bba1,

title = "Data quality in recommender systems: the impact of completeness of item content data on prediction accuracy of recommender systems",

keywords = "Completeness, Data quality, Prediction accuracy, Recommender systems",

author = "Bernd Heinrich and Marcus Hopf and Daniel Lohninger and Alexander Schiller and Michael Szubartowicz",

year = "2021",

doi = "10.1007/s12525-019-00366-7",

language = "English",

volume = "31",

pages = "389--409",

journal = "Electronic Markets (em)",

issn = "1019-6781",

publisher = "Springer Verlag",

number = "2",

}

TY - JOUR

T1 - Data quality in recommender systems: the impact of completeness of item content data on prediction accuracy of recommender systems

AU - Heinrich, Bernd

AU - Hopf, Marcus

AU - Lohninger, Daniel

AU - Schiller, Alexander

AU - Szubartowicz, Michael

PY - 2021

Y1 - 2021

KW - Completeness

KW - Data quality

KW - Prediction accuracy

KW - Recommender systems

U2 - 10.1007/s12525-019-00366-7

DO - 10.1007/s12525-019-00366-7

M3 - Journal article

SN - 1019-6781

VL - 31

SP - 389

EP - 409

JO - Electronic Markets (em)

JF - Electronic Markets (em)

IS - 2

ER -