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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.。关于这个话题，同城约会提供了深入分析
聚合模式进一步放大了这一问题。聚合平台并不直接创造新的交易空间，而是在既有平台之上叠加新的分发层级。每一层抽成都各自合理，但多层叠加后，整体利润空间被显著压缩，使抽佣的边际收益更早触及上限。
Мир Российская Премьер-лига|19-й тур