推荐系统 15
- 12_DIFF:Dual Side-Information Filtering and Fusion for Sequential Recommendation
- 11_MGIPF:Multi-Granularity Interest Prediction Framework for Personalized Recommendation
- 10_Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
- 09_Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation
- 08_Mitigating Distribution Shifts in Sequential Recommendation:An Invariance Perspective
- base01_Diffusion Models
- base02_Transformer
- 07_Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations
- 06_Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
- 05_AlphaFuse:Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embedding
- 04_GLINT-RU:Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
- Competition01_OTTO-Multi-Objective Recommender System
- 03_Attention Mechanisms in Computer Vision:A Survey
- 02_Augmenting Sequential Recommendation with Balanced Relevance and Diversity
- 01_Repeated Padding for Sequential Recommendation