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Models/RLAE-DAN

RLAE-DAN

Reported on 12 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Knowledge Base6 results

  • Recommendation SystemsonGowalla
    Recall@20· 2025-04-08
    0.1922
    SOTA
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Recommendation SystemsonGowalla
    nDCG@20· 2025-04-08
    0.1605
    best: 0.6019 (ConvNCF)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Recommendation SystemsonYelp2018
    NDCG@20· 2025-04-08
    0.0587
    best: 0.0611 (NESCL)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Recommendation SystemsonYelp2018
    Recall@20· 2025-04-08
    0.0706
    best: 0.0743 (NESCL)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Recommendation SystemsonAmazon-Book
    Recall@20· 2025-04-08
    0.0762
    best: 0.0773 (SSCF)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Recommendation SystemsonAmazon-Book
    nDCG@20· 2025-04-08
    0.063
    best: 0.0647 (SSCF)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805

Miscellaneous6 results

  • Collaborative FilteringonGowalla
    Recall@20· 2025-04-08
    0.1922
    SOTA
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Collaborative FilteringonAmazon-Book
    NDCG@20· 2025-04-08
    0.063
    best: 0.0637 (SANSA)
    SOTA
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Collaborative FilteringonAmazon-Book
    Recall@20· 2025-04-08
    0.0762
    best: 0.0768 (SANSA)
    SOTA
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Collaborative FilteringonGowalla
    NDCG@20· 2025-04-08
    0.1605
    best: 0.1617 (NESCL)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Collaborative FilteringonYelp2018
    NDCG@20· 2025-04-08
    0.0587
    best: 0.0611 (NESCL)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805
  • Collaborative FilteringonYelp2018
    Recall@20· 2025-04-08
    0.0706
    best: 0.0743 (NESCL)
    Why is Normalization Necessary for Linear Recommenders?arXiv:2504.05805