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Models/SASRec

SASRec

Reported on 27 benchmarks across 1 task · 2 papers · 25 SOTA

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

Knowledge Base28 results

  • Recommendation SystemsonPixelRec
    Hit@10· 2023-09-13
    0.025
    SOTA
    An Image Dataset for Benchmarking Recommender Systems with Raw PixelsarXiv:2309.06789
  • Recommendation SystemsonAmazon Beauty
    Hit@10· 2018-08-20
    0.4854
    best: 0.6793 (CARCA Abs + Con)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon Beauty
    nDCG@10· 2018-08-20
    0.3219
    best: 0.449 (ProxyRCA)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 20M
    HR@10 (full corpus)· 2018-08-20
    0.2889
    best: 0.3556 (HSTU)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonSteam
    Hit@10· 2018-08-20
    0.8729
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonSteam
    nDCG@10· 2018-08-20
    0.6306
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@10· 2018-08-20
    0.8245
    best: 0.8903 (KTUP (soft))
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@10 (full corpus)· 2018-08-20
    0.2821
    best: 0.3412 (HSTU+MoL)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    nDCG@10· 2018-08-20
    0.5905
    best: 0.6292 (SSE-PT)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon Games
    Hit@10· 2018-08-20
    0.741
    best: 0.809 (ProxyRCA)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon Games
    nDCG@10· 2018-08-20
    0.536
    best: 0.611 (ProxyRCA)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon-Book
    HR@10· 2018-08-20
    0.0306
    best: 0.0613 (HSTU+MoL)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon-Book
    HR@50· 2018-08-20
    0.0754
    best: 0.1292 (HSTU+MoL)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon-Book
    NDCG@10· 2018-08-20
    0.0164
    best: 0.035 (HSTU+MoL)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonAmazon-Book
    NDCG@50· 2018-08-20
    0.026
    best: 0.0498 (HSTU+MoL)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@10 (99 Neg. Samples)· 2018-08-20
    0.7904
    best: 0.7978 (BSARec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@20· 2018-08-20
    0.3245
    best: 0.4338 (TiM4Rec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@5· 2018-08-20
    0.1374
    best: 0.2308 (TiM4Rec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@5 (99 Neg. Samples)· 2018-08-20
    0.6874
    best: 0.7023 (BSARec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    MRR (99 Neg. Samples)· 2018-08-20
    0.502
    best: 0.5406 (BSARec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    NDCG@10· 2018-08-20
    0.1116
    best: 0.2127 (SS4Rec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    NDCG@10 (99 Neg. Samples)· 2018-08-20
    0.5642
    best: 0.5955 (BSARec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    NDCG@20· 2018-08-20
    0.1395
    best: 0.2194 (TiM4Rec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    NDCG@5· 2018-08-20
    0.0873
    best: 0.1608 (TiM4Rec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    NDCG@5 (99 Neg. Samples)· 2018-08-20
    0.5308
    best: 0.5646 (BSARec)
    SOTA
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 20M
    nDCG@10 (full corpus)· 2018-08-20
    0.1621
    best: 0.2098 (HSTU)
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    NDCG@10 (full corpus)· 2018-08-20
    0.1603
    best: 0.1979 (HSTU+MoL)
    Self-Attentive Sequential RecommendationarXiv:1808.09781
  • Recommendation SystemsonMovieLens 1M
    HR@10· 2018-08-20
    0.2137
    best: 0.8903 (KTUP (soft))
    Self-Attentive Sequential RecommendationarXiv:1808.09781