Steam
Canonical8papers using it
2022first seen
The 'Steam' dataset is a benchmark used to evaluate methods for product bundling in e-commerce by assessing the effectiveness of recommendations based on complementary item combinations.
Papers using Steam (8)
- Breaking the Information Silo: Semantic Personas for Cross-Domain RecommendationDual-Enhancement Product Bundling: Bridging Interactive Graph and Large Language ModelHSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative RecommenderLarge-scale Personalized Video Game Recommendation via Social-aware
Contextualized Graph Neural NetworkItem-side Fairness of Large Language Model-based Recommendation SystemOn Generative Agents in RecommendationImproving Sequential Recommendation Models with an Enhanced Loss
FunctionDynamic Collaborative Filtering for Matrix- and Tensor-based Recommender
Systems