SIGIR 2024 T2.2 [fp] Graph Signal Diffusion Model for Collaborative Filtering

SIGIR 2024 T2.4 [fp] Large Language Models for Next Point-of-Interest RecommendationПодробнее

SIGIR 2024 T2.5 [fp] GPT4Rec: Graph Prompt Tuning for Streaming RecommendationПодробнее

SIGIR 2024 M1.2 [fp] EditKG: Editing Knowledge Graph for RecommendationПодробнее

SIGIR 2024 T2.2 [fp] Diffusion Models for Generative Outfit RecommendationПодробнее

SIGIR 2024 T2.2 [fp] Collaborative Filtering Based on Diffusion Models: Potential of High-Order ConПодробнее

SIGIR 2024 T2.2 [fp] Denoising Diffusion Recommender ModelПодробнее

SIGIR 2024 T1.4 [fp] AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for RecПодробнее

SIGIR 2024 T1.4 [fp] Lightweight Embeddings for Graph Collaborative FilteringПодробнее

SIGIR 2024 T2.4 [fp] Disentangled Contrastive Hypergraph Learning for Next POI RecommendationПодробнее

SIGIR 2024 Demo: Retrieval-Augmented Conversational RecommendationПодробнее

SIGIR 2024 T3.2 [fp] SelfGNN: Self-Supervised Graph Neural Networks for Sequential RecommendationПодробнее

SIGIR 2024 M2.2 [fp] Instruction-based Hypergraph PretrainingПодробнее

SIGIR 2024 M2.2 [fp] GraphGPT: Graph Instruction Tuning for Large Language ModelsПодробнее

SIGIR 2024 T1.4 [fp] Content-based Graph Reconstruction for Cold-start item recommendationПодробнее

[SIGIR 2024] Content-based Graph Reconstruction for Cold-start item recommendationПодробнее

SIGIR 2024 M1.2 [fp] NativE: Multi-modal Knowledge Graph Completion in the WildПодробнее

SIGIR 2024 T3.2 [fp] CMCLRec: Cross-modal Contrastive Learning for User Cold-start SRПодробнее