LIGER 性能 在 Amazon Beauty、Sports、Toys 和 Steam 等基准数据集上的评估显示，LIGER 的性能持续优于 TIGER 和 UniSRec 等现有最先进模型。 例如，在 Amazon Beauty 数据集上，LIGER 对冷启动项目的 Recall@10 得分为 0.1008，而 TIGER 为 0.0。在 Steam 数据集上，LIGER 的 ...

例如，在Amazon Beauty数据集上，LIGER对冷启动项目的Recall@10得分达到了0.1008，优于TIGER的0.0。在Steam数据集上，LIGER的Recall@10也达到了0.0147。此外 ...

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在Amazon Beauty、Sports、Toys以及Steam等多个基准数据集上的评估结果显示，LIGER的性能持续优于现有的最先进模型，如TIGER和UniSRec。例如，在Amazon Beauty数据集上，LIGER对冷启动项目的Recall@10得分为0.1008，而TIGER的得分为0。 同样，在Steam数据集上，LIGER的Recall@10达到了0. ...