周期值 meaning in Chinese
periodic quantity
Examples
- The available maximum rolling angle of the platform is 30 and in the experiment the maximum rolling angle 10 , 15 , 20 was chosen . the rolling period of the platform is selected with 5 second , 7 . 5 second and 10 second
实验中选定最大摇摆角度为10 、 15和20 ，摇摆周期为5秒、 7 . 5秒以及10秒，以及一些分离周期值。 - The innovation of this paper is concentrate the merit of the above two recommendation technology , namely , it is a hybrid method that use the conception of customers ’ preference and weighed clv , and what is joited is to use the conception of threshold , so it can be settled on the joit of the two method and avoid the error of use the two recommendation seprately . in this hybrid method , we can firstly identify the loyalty of researched customer use clv , what is mean is firsly the wrfm technology is used to classify and secondly identify the customer is high loyalty or not , if he belongs to the
本文的创新点正是集中以上两种推荐技术的优点,使用了基于客户偏好的协同过滤和基于加权的客户生命周期值两种理论形成的混合推荐方法。这种方法在两种技术的结合点上采用了“阀值”的概念,这样就很好地解决了两种方法的中间过渡并且有效避免了两种推荐方法单独使用时的偏差。 - The paper ’ s main works are as follow : ( 1 ) several methods of getting pitch period are researched in details . according to the real - time demand for the systems , the methods for pitch searching are simplified as follow : after searching the peak value point every third point within pitch range , search the peak value point every point near the current peak value point
( 1 )研究了基音周期的求取方法,并根据系统的实时要求,将逐点搜索基音周期的方法简化为粗细法,即在基音周期范围内隔点搜索相关函数最大峰值点,然后在此时得到的最大峰值点附近继续搜索,将最后得到的峰值点作为基音周期值。 - Cf is a kind of non - different recommendation to all customers , so it is may appear that the company spend much cost but have little revenue . recently a new recommend technology base on lifetime value of customers have emerged , the centre of the technology is to use the weighed sum of the three variable to classify the customers and the reason of use weighed variable is that think about the relative important degree . then we can recommend products according to the association rule in the classify of same clv . the shortcoming of this recommendation is that the recommendation may have some error when the customers ’ data is not enough to form regular value
近年来出现了一种采用基于客户生命周期值的加权rfm (表示客户生命周期的三个指标变量)技术的推荐方法,这一技术的核心思想就是采用这三个客户属性变量的加权和的方法来对客户进行聚类,其中为变量加权是考虑到不同变量对顾客产生的不同重要程度的影响。对符合某一生命周期类型的客户按照商品挖掘关联技术进行商品推荐。这种推荐方法的弊端在于当客户的交易数据不足以形成规律化的量值时,推荐可能会出现偏差。