Toys

The 'Toys' dataset/benchmark is used to evaluate recommendation systems by providing a structured set of user behaviors and item attributes for analyzing how well these systems can learn and infer user interests.

Papers using Toys (2)

Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs2026Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation2026