RetailRocket
Canonical4papers using it
2024first seen
The 'RetailRocket' dataset is a benchmark that contains user interaction sequences for session-based recommendation tasks, used to evaluate the effectiveness of recommendation models in predicting the next item a user will be interested in.
Papers using RetailRocket (4)
- PHKT:Personalized Dynamic Hypergraph-enhanced KAN-Transformer for Multi-behavior Sequential RecommendationModeling Behavioral Intensity and Transitions for Generative RecommendationPersonalisation of d'Hondt's algorithm and its use in recommender
ecosystemsSPGL: Enhancing Session-based Recommendation with Single Positive Graph
Learning