BERT-4Rec

BERT-4Rec is a benchmark dataset used to evaluate sequential recommendation models by predicting a user's next interaction based on their historical behaviors.

Papers using BERT-4Rec (3)

On the Efficiency of Sequentially Aware Recommender Systems: Cotten4Rec2026Leveraging Large Language Models for Sequential Recommendation2023 · 200 citesA Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation2022