Tmall
Canonical9papers using it
2016first seen
The 'Tmall' dataset is a large used car transaction dataset that contains resource-limitation characteristics and is used to evaluate user preferences in resource-limited recommendation tasks.
Papers using Tmall (9)
- Efficient Recommendation with Millions of Items by Dynamic Pruning of
Sub-Item EmbeddingsPHKT:Personalized Dynamic Hypergraph-enhanced KAN-Transformer for Multi-behavior Sequential RecommendationModeling Behavioral Intensity and Transitions for Generative RecommendationMulti-Interest Network with Dynamic Routing for Recommendation at TmallMB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior
RecommendationHybrid Recommender System Based on Personal Behavior MiningSR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural
NetworkOptimizing Encoder-Only Transformers for Session-Based Recommendation
SystemsSPGL: Enhancing Session-based Recommendation with Single Positive Graph
Learning