Comments (4)
图推荐是讲原本的推荐问题,即判断一个用户与某个商品的相关性,看成是一个边预测问题。实际运用即现在某个user-item-KG上训练,然后预测user-item边存在的概率,与我们文中的实验与实验数据类似。
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非常感谢您的回答!我想接着这个问题再问一下,能否用公式14,
来确定user对每个item的评分,从而达到推荐的目的。
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还有一点,在代码中,公式14体现为
能具体说说此时pos_score和neg_score分别代表什么吗,有什么具体含义。非常感谢您能在百忙之中抽出时间来回答!
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