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cs.IR2026
Faithful Evaluation of Semantic-ID Tokenizers for Generative Recommendation
Qian Zhang, Lech Szymanski, Haibo Zhang +1
Generative recommendation based on Semantic IDs (SIDs) represents each item as a discrete sequence of SIDs and is conventionally evaluated by matching the generated SID sequence ag…
cs.IR2026
CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation
Qian Zhang, Lech Szymanski, Haibo Zhang +1
Sequential Recommendation (SR) aims to predict the next interaction of a user based on their behavior sequence, where complementary relations often provide essential signals for pr…