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On the Deployment of Web Usage Mining

机译:Web用法挖掘的部署

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摘要

In this paper we look at the deployment of web usage mining results within two key application areas of web measurement and knowledge generation for personalisation. We take a fresh look at the model of interaction between business and visitors to their web sites and the sources of data generated during these interactions. We then look at previous attempts at measuring the effectiveness of the web as a channel to customers and describe our approach, based on scenario development and measurement to gain insights into customer behaviour. We then present Concerto, a platform for deploying knowledge on customer behaviour with the aim of providing a more personalized service. We also look at approaches to measuring the effectiveness of the personalization. Various standards that are emerging in the market that can ease the integration effort of personalization and similar knowledge deployment engines within the existing IT infrastructure of an organization are also presented. Finally, current challenges in the deployment of web usage mining are presented.
机译:在本文中,我们研究了在Web测量和个性化知识生成的两个关键应用领域中Web使用挖掘结果的部署。我们重新审视了企业与网站访问者之间的交互模型以及在这些交互过程中生成的数据源。然后,我们将基于场景开发和度量以了解客户行为的方式,查看先前在衡量Web作为客户渠道的有效性方面的尝试并描述我们的方法。然后,我们介绍Concerto,这是一个用于部署有关客户行为的知识的平台,旨在提供更加个性化的服务。我们还将研究衡量个性化效果的方法。还介绍了市场上出现的各种标准,这些标准可以简化组织的现有IT基础架构中的个性化和类似知识部署引擎的集成工作。最后,介绍了Web使用挖掘的部署中的当前挑战。

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