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在Worker节点的Recommend函数中,我看到去重(过滤已读和负反馈内容)是直接使用的loadUserHistoricalItems,将数据库中所有反馈查询出来,在用户历史反馈过多的情况下是否会导致性能问题呢,有没有更好的离线过滤方式呢
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