PPNW: personalized pairwise novelty loss weighting for novel recommendation

Kachun Lo, Tsukasa Ishigaki. PPNW: personalized pairwise novelty loss weighting for novel recommendation. Knowl. Inf. Syst., 63(5):1117-1148, 2021. [doi]

Abstract

Abstract is missing.