(EN) Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.
(ZH)
本发明提供了一种检测尖峰查询的方法、系统和介质。提供了用于标识流行度不断提升的查询并对其进行聚类的方法、系统和介质。可以使用文本或时间相关性将所得的聚类查询与其他所存储的查询进行比较。搜索包含来自最近爬行的内容源的信息和结果的新鲜索引来获得最近查询活动。还搜索历史索引来获得匹配聚类查询流的、在时间上相关的信息和结果。可以计算尖峰的加权平均加速度来在合法尖峰和不合法尖峰之间进行区分。将合法聚类与其他所存储的聚类进行组合并作为分组的内容结果呈现给用户输出设备。
