Paper-Conference

Adaptive In-Context Learning with Large Language Models for Bundle Generation
Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models
Configurable Fairness for New Item Recommendation Considering Entry Time of Items
Disentangled Multi-interest Representation Learning for Sequential Recommendation
Large Language Models for Intent-Driven Session Recommendations
Unified Denoising Training for Recommendation
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