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Data · dataset · 2020

Advertisement CTR Prediction Data

Listed in BERD@NFDI Data Portal

The Advertisement CTR Prediction dataset is a large‑scale, anonymized collection of user‑level advertising behavior recorded over seven consecutive days, split into a training set and a held‑out test set for click‑through‑rate (CTR) modeling.

Description

Each record includes timestamps, ad identifiers, user and device features, impression counts, and binary click outcomes, enabling researchers to develop and benchmark high‑accuracy CTR prediction algorithms for precision marketing.

The data were released as part of a public competition aimed at advancing state‑of‑the‑art advertising models.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Advertising · Machine-learning
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
BERD@NFDI Data Portalfcbat-gmy7011 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · berd platform deconnector:berd_platform_de@1.0.0
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concepts[field].local:field:economics-financemapping · berd platform deconnector:berd_platform_de@1.0.0
concepts[topic].invenio_subject:berd_platform_de:advertisingsource · berd platform deconnector:berd_platform_de@1.0.0
concepts[topic].invenio_subject:berd_platform_de:machine-learningsource · berd platform deconnector:berd_platform_de@1.0.0
descriptionsource · berd platform deconnector:berd_platform_de@1.0.0/metadata/description
publication_datesource · berd platform deconnector:berd_platform_de@1.0.0
titlesource · berd platform deconnector:berd_platform_de@1.0.0/metadata/title
updated_datesource · berd platform deconnector:berd_platform_de@1.0.0