SPADE: Escaping the Popularity-Similarity Frontier to Measure Serendipitous Recommendations
The results show that the SPADE metric successfully prevents algorithms from exploiting beyond-accuracy measures with irrelevant or non-personalized recommendations, reliably isolating serendipitous discoveries.
Tobias Vente, Maarten Peirsman, Noah Daniels et al.
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