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REPRESENTING QUERIES AND DETERMINING SIMILARITY BASED ON AN ARIMA MODEL

机译:基于ARIMA模型的表示查询和相似性确定

摘要

Representing queries and determining similarity of queries based on an autoregressive integrated moving average (“ARIMA”) model is provided. A query analysis system represents each query by its ARIMA coefficients. The query analysis system may estimate the frequency information for a desired past or future interval based on frequency information for some initial intervals. The query analysis system may also determine the similarity of a pair of queries based on the similarity of their ARIMA coefficients. The query analysis system may use various metrics, such as a correlation metric, to determine the similarity of the ARIMA coefficients.
机译:提供了表示查询并基于自回归综合移动平均值(ARIMA)模型确定查询的相似性。查询分析系统通过其ARIMA系数表示每个查询。查询分析系统可以基于一些初始间隔的频率信息来估计期望的过去或将来的间隔的频率信息。查询分析系统还可基于其ARIMA系数的相似度来确定一对查询的相似度。查询分析系统可以使用各种度量,例如相关度量,来确定ARIMA系数的相似性。

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