Papers Multibehavior Recommendation
“Multibehavior Recommendation” 태그가 달린 논문 4편 · 필터 해제
Multi-Behavioral Sequential Recommendation
Sequential recommendation models are crucial for next-item prediction tasks in various online platforms, yet many focus on a single behavior, neglecting valuable implicit interactions. While multi-behavioral models addre…
Multibehavior RecommendationRecommendation SystemsSequential RecommendationHMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
In the context of recommendation systems, addressing multi-behavioral user interactions has become vital for understanding the evolving user behavior. Recent models utilize techniques like graph neural networks and atten…
Multibehavior RecommendationRecommendation SystemsContext-Aware Sequential Model for Multi-Behaviour Recommendation
Sequential recommendation models are crucial for next-item recommendations in online platforms, capturing complex patterns in user interactions. However, many focus on a single behavior, overlooking valuable implicit int…
modelMultibehavior RecommendationSequential RecommendationMulti-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
Learning dynamic user preference has become an increasingly important component for many online platforms (e.g., video-sharing sites, e-commerce systems) to make sequential recommendations. Previous works have made many …
Multibehavior RecommendationSequential Recommendation