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Session-Based Recommendations
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Recommendation based on a sequence of events. e.g. next item prediction
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Context-aware Session-based Recommendation with Graph Neural Networks
Beyond Co-occurrence: Multi-modal Session-based Recommendation
SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
Hierarchical Multi-Task Learning Framework for Session-based Recommendations
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions
Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation
Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes
Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item
Self Contrastive Learning for Session-based Recommendation
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation
Dual-Granularity Contrastive Learning for Session-based Recommendation
Discreetly Exploiting Inter-session Information for Session-based Recommendation
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Recommender Systems: A Primer
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Learning Recommendations from User Actions in the Item-poor Insurance Domain
STAR: A Session-Based Time-Aware Recommender System
Efficient On-Device Session-Based Recommendation
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Understanding Diversity in Session-Based Recommendation
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation
Using user's local context to support local news
Heterogeneous Graph Neural Network for Personalized Session-Based Recommendation with User-Session Constraints
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Effectively Using Long and Short Sessions for Multi-Session-based Recommendations
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.