冷启动问题是稀疏性的极端情况，包括新用 户问题（new user problem）和新项目问题（new item problem）， 即当新用户（新项目）进入推荐系统后，由于还未提供（接 受）任何项目（用户）的评分，导致系统无法向新用户推荐其 可能喜欢的...
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Compared traditional collaborative filtering method, the experimental results show that our approach can find a solution to the problem of new item recommendation effectively.
实验结果表明：基于项目矩阵划分的协同过滤算法有效地解决新项目推荐困难的问题，显示出了比传统推荐算法更好的推荐质量和扩展性。
To efficiently resolve the problem that the new item is difficult to recommend in collaborative filtering algorithm. In this paper we propose a new method based item matrix partition.
为了有效地解决协同过滤算法中新项目难以推荐的问题，文中提出了一种对项目矩阵进行划分的方法。
As per our previous experience, we never have this kind of problem happened, especially from a brand new item, also as expected as it should be ok when you brought it.
根据我们之前的经验，我们从来没有发生过这种事情，特别是发生在全新的商品上，当然我们希望你在购买的时候就是好的。
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