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Separate pattern matching algorithms and computer models based on available caller data

机译:基于可用呼叫者数据的独立模式匹配算法和计算机模型

摘要

Apparatus and methods are disclosed for routing callers to agents in a contact center. Exemplary methods and system include using one of a plurality of different computer models for matching callers to agents, the model selected based on a degree and/or type of caller data available. The models may include queue routing, performance based matching, adaptive pattern matching algorithms, or other computer models for matching callers to agents. In one example, similar adaptive models may be used for two or more different degrees/types of caller data, but are trained differently, e.g., based on the degree/type of caller data. Different models for routing callers to agents may perform differently for different degrees/types of caller data. Further, training correlation or adaptive pattern matching algorithms based on different degrees/types of caller data may improve their respective performance compared to a single algorithm for all degrees/types of caller data.
机译:公开了用于将呼叫者路由到联络中心中的座席的设备和方法。示例性方法和系统包括使用多个不同计算机模型之一来将呼叫者与代理匹配,该模型基于可用的呼叫者数据的程度和/或类型来选择。这些模型可以包括队列路由,基于性能的匹配,自适应模式匹配算法或用于将呼叫者与代理匹配的其他计算机模型。在一个示例中,相似的自适应模型可以用于两个或更多个不同程度/类型的呼叫者数据,但是例如基于呼叫者数据的程度/类型而被不同地训练。对于呼叫者数据的不同程度/类型,用于将呼叫者路由到座席的不同模型可能会有所不同。此外,与针对呼叫者数据的所有程度/类型的单个算法相比,基于呼叫者数据的不同程度/类型的训练相关性或自适应模式匹配算法可以改善它们各自的性能。

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