3 papers
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…
cs.LG2024
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference
Xiaojie Yu, Haibo Zhang, Lizhi Peng +2
ReduNet is a deep neural network model that leverages the principle of maximal coding rate \textbf{redu}ction to transform original data samples into a low-dimensional, linear disc…