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Integrating Large Language Models with Graphical Session-Based Recommendation
SBR has been primarily dominated by Graph Neural Networks, which have achieved many successful outcomes due to their ability to capture both the implicit and explicit relationships between adjacent behaviors.
Natural Language Understanding
Session-Based Recommendations
+2
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations
The general idea of multi-task learning is designing kinds of global parameter sharing mechanism and task-specific feature extractor to improve the performance of all tasks.
