Collaborative filtering (CF) is a technique, popularized by Amazon and others, that USES user information such as ratings, clicks, and purchases to provide recommendations to other site users.

协作筛选(CF)是Amazon等公司极为推崇的一项技巧，它使用评分、单击和购买等用户信息为其他站点用户提供推荐产品。

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Collaborative Filtering is frequently used in solving information overload problem, Collaborative Filtering is a main tool used in Personalized Recommendation.

协同过滤是经常被采用的解决信息过载问题的方法，是个性化推荐的主要方法之一。

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Collaborative filtering is a successful technology in information push, but this method has encountered data sparse, cold start and other issues.

协同过滤是目前应用较为成功的信息推送技术，但也遇到了数据稀疏性、冷启动等种种问题。

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