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Yoochoose-1/64
The dataset used in the paper for session-based recommendation. -
Yoochoose-1/4
The dataset used in the paper for session-based recommendation. -
RetailRocket
The dataset used in the paper for session-based recommendation. -
RETAIL ROCKET
The RETAIL ROCKET dataset is a collection of user behavioral data from a real-world e-commerce website throughout approximately 4.5 months. -
Diginetica
The dataset used in the paper is a real-world offline dataset from CIKM Cup 2016 data challenge. It contains six months of user interaction logs. -
Self-supervised dual-channel attentive network for session-based social recom...
Self-supervised dual-channel attentive network for session-based social recommendation. -
Collaborative graph learning for session-based recommendation
Collaborative graph learning for session-based recommendation. -
Session-based recommendation with graph neural networks
Graph Neural Network-based models have been found to be more effective than other models because they can better model the complex relationships that exist between items. -
Session-based recommendation
Session-based recommendation (SBR) has gained significant attention recently and it provides recommendations solely based on information from an anonymous session. -
Dual-Granularity Contrastive Learning for Session-based Recommendation
The data encountered by Session-based Recommendation System(SBRS) is typically highly sparse, which also serves as one of the bottlenecks limiting the accuracy of recommendations.
