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Models/LRML

LRML

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Knowledge Base6 results

  • Recommendation SystemsonMovieLens 20M
    HR@10· 2017-07-17
    0.8447
    best: 0.8736 (HyperML)
    SOTA
    Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingarXiv:1707.05176
  • Recommendation SystemsonMovieLens 20M
    nDCG@10· 2017-07-17
    0.6152
    best: 0.6404 (HyperML)
    SOTA
    Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingarXiv:1707.05176
  • Recommendation SystemsonNetflix
    Recall@10· 2017-07-17
    0.5371
    SOTA
    Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingarXiv:1707.05176
  • Recommendation SystemsonNetflix
    nDCG@10· 2017-07-17
    0.3578
    SOTA
    Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingarXiv:1707.05176
  • Recommendation SystemsonMovieLens 1M
    HR@10· 2017-07-17
    0.7397
    best: 0.8903 (KTUP (soft))
    SOTA
    Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingarXiv:1707.05176
  • Recommendation SystemsonMovieLens 1M
    nDCG@10· 2017-07-17
    0.5453
    best: 0.6292 (SSE-PT)
    SOTA
    Latent Relational Metric Learning via Memory-based Attention for Collaborative RankingarXiv:1707.05176