HyperML

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base4 results

Recommendation SystemsonMovieLens 20M
HR@10· 2018-09-05
0.8736
SOTA
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems arXiv:1809.01703
Recommendation SystemsonMovieLens 20M
nDCG@10· 2018-09-05
0.6404
SOTA
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems arXiv:1809.01703
Recommendation SystemsonMovieLens 1M
HR@10· 2018-09-05
0.7563
best: 0.8903 (KTUP (soft))
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems arXiv:1809.01703
Recommendation SystemsonMovieLens 1M
nDCG@10· 2018-09-05
0.562
best: 0.6292 (SSE-PT)
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems arXiv:1809.01703