3 papers
cs.IR2026
Zero-Observation User Reactivation with Gap-Driven Dimensional Gating
Jiandong Ding, Tianying Liu, Fuyuan Liu +2
Sequential recommendation (SR) models capture continuously observed behavior, but a returning user may have no interactions for months or years. We define this setting as Zero-Obse…
cs.IR2026
SIDInspector: A Mapping-First Diagnostic Resource for Semantic-ID Tokenizers
Jiandong Ding, Heng Chang, Huijie Qin +1
Semantic-ID (SID) tokenizers are increasingly reused as standalone artifacts in generative recommendation: an exported item-to-code mapping becomes the address space that a later s…
cs.IR2026
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
Zerui Chen, Heng Chang, Tianying Liu +5
Generative Recommenders (GRs), exemplified by the Hierarchical Sequential Transduction Unit (HSTU), have emerged as a powerful paradigm for modeling long user interaction sequences…