Matching Novelty While Training: Novel Recommendation Based on Personalized Pairwise Loss Weighting. - Kachun Lo; Tsukasa Ishigaki (ICDM, 2019)

X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-Embedded Edges. - Kachun Lo; Tsukasa Ishigaki (SIGIR, 2021)

PPNW: personalized pairwise novelty loss weighting for novel recommendation. - Kachun Lo; Tsukasa Ishigaki (Knowl. Inf. Syst., 2021)