TREC

The TRec dataset is an industrial benchmark used to evaluate large-scale recommendation systems, containing data that enables the assessment of ranking models' performance in real-world scenarios.

Papers using TREC (5)

MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation2025CEDR: Contextualized Embeddings for Document Ranking2019Groupwise Query Performance Prediction with BERT2022Zero-Shot Listwise Document Reranking with a Large Language Model2023Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers2023