Leaderboard Overview

The ORBIT Leaderboard provides a comprehensive evaluation of recommendation models across multiple benchmark datasets and evaluation metrics. Our goal is to offer a transparent, reproducible, and fair comparison of models across domains and settings.

Available Rankings

Public Benchmark Leaderboard – Performance of models within individual datasets.
ClueWeb-Reco Leaderboard – Evaluation under the ClueWeb-Reco benchmark.

Metrics Used

Recall@K (K = 1, 10, 50, 100)
NDCG@K (K = 10, 50, 100)

All values are reported as raw decimals (up to 4 decimal places).

Contributing

Interested in submitting a model to the leaderboard? Stay tuned — submission instructions and evaluation scripts will be released soon.