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Models/HSTU

HSTU

Reported on 8 benchmarks across 1 task · 1 paper · 8 SOTA

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

Knowledge Base8 results

  • Recommendation SystemsonMovieLens 20M
    HR@10 (full corpus)· 2024-02-27
    0.3556
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonMovieLens 20M
    nDCG@10 (full corpus)· 2024-02-27
    0.2098
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonMovieLens 1M
    HR@10 (full corpus)· 2024-02-27
    0.3294
    best: 0.3412 (HSTU+MoL)
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonMovieLens 1M
    NDCG@10 (full corpus)· 2024-02-27
    0.1893
    best: 0.1979 (HSTU+MoL)
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonAmazon-Book
    HR@10· 2024-02-27
    0.0478
    best: 0.0613 (HSTU+MoL)
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonAmazon-Book
    HR@50· 2024-02-27
    0.1082
    best: 0.1292 (HSTU+MoL)
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonAmazon-Book
    NDCG@10· 2024-02-27
    0.0262
    best: 0.035 (HSTU+MoL)
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152
  • Recommendation SystemsonAmazon-Book
    NDCG@50· 2024-02-27
    0.0393
    best: 0.0498 (HSTU+MoL)
    SOTA
    Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative RecommendationsarXiv:2402.17152