Contextual information that is typically used for filtering includes current date, time, last actions performed, current navigational position, and awareness of other persons online.

通常用于筛选的上下文信息包括当前日期、时间、上次执行的操作、当前的导航位置和其他个人联机识别。

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For the filtering strategy to work properly, Web developers need to ensure that the list of metacharacters for filtering is up-to-date according to the needs of their applications.

要使过滤策略正确工作，Web开发人员需要确保的是，依照其应用程序的需要，过滤用的元字符列表是最新的。

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Collaborative filtering recommendation algorithm can make choices based on the opinions of other people. It is the most successful technology for building recommender systems to date.

协同过滤是目前最成功的一种推荐算法，它能够基于其他用户的观点帮助人们作出选择。

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