基于规则的Web用户分析平台

Jianping Zhang, Manu Shukla
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引用次数: 10

摘要

本文讨论了一个研究项目:基于规则的Web用户分析平台。在此平台中,使用数据被编码为事件序列,每个事件序列表示用户在给定时间对Web服务执行的一个操作。建议使用事件模板为不同的Web服务定义事件模型。平台是基于规则的。规则定义概要指标,并确定如何根据使用事件计算概要指标。实现了该平台的原型,并应用于从页面浏览事件生成概要文件。这项工作的主要贡献是基于规则的用户分析方法。规则和事件模板提供了灵活性,允许为不同的Web服务配置平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rule-Based Platform for Web User Profiling
This paper discusses a research project: rule-based Web user profiling platform. In this platform, usage data are encoded as a sequence of events, each of which represents an action performed by a user on a Web service at a given time. An event template is proposed to define event models for different Web services. The platform is rule-based. Rules define profile metrics and determine how to compute profile metrics from usage events. A prototype of the platform was implemented and was applied to generate profiles from page view events. The major contribution of the work is the rule-based approach to user profiling. It is the rules and the event template that provide the flexibility to allow the platform to be configured for different Web services.
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