2026
Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation
AAAI 2026technical
User purchase decisions are driven by complex, multi-faceted intentions that evolve across different temporal horizons (e.g., immediate needs, transitional interests, and long-term preferences). However, existing sequential methods often treat user sequences as unified blocks, overlooking the dynami