ArtiFact is a new multi-modal dataset of 651k museum records used to benchmark cross-modal error detection with seven error categories and semantic query processing challenges.
InProceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys ’25)
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
DUET pre-trains dedicated transformers for click and conversion streams, yielding up to 0.38% NE reduction over baselines in OCVR prediction.
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ArtiFact: A Large-Scale Multi-Modal Cultural Heritage Dataset
ArtiFact is a new multi-modal dataset of 651k museum records used to benchmark cross-modal error detection with seven error categories and semantic query processing challenges.
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DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction
DUET pre-trains dedicated transformers for click and conversion streams, yielding up to 0.38% NE reduction over baselines in OCVR prediction.