5 papers
Enhancing High-order Interaction Awareness in LLM-based Recommender Model
Xinfeng Wang, Jin Cui, Fumiyo Fukumoto +1
Large language models (LLMs) have demonstrated prominent reasoning capabilities in recommendation tasks by transforming them into text-generation tasks. However, existing approache…
RDRec: Rationale Distillation for LLM-based Recommendation
Xinfeng Wang, Jin Cui, Yoshimi Suzuki +1
Large language model (LLM)-based recommender models that bridge users and items through textual prompts for effective semantic reasoning have gained considerable attention. However…
NFARec: A Negative Feedback-Aware Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui +2
Graph neural network (GNN)-based models have been extensively studied for recommendations, as they can extract high-order collaborative signals accurately which is required for hig…
CaDRec: Contextualized and Debiased Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui +3
Recommender models aimed at mining users' behavioral patterns have raised great attention as one of the essential applications in daily life. Recent work on graph neural networks (…
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang +4
Aspect-category-based sentiment analysis (ACSA), which aims to identify aspect categories and predict their sentiments has been intensively studied due to its wide range of NLP app…