聚类在Web用户信息检索中的应用

Sachin Sharma, V. Mangat
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引用次数: 0

摘要

本文主要研究应用数据挖掘中的聚类技术实现“用户信息需求”的个性化。在当前以数据为中心的世界中,正确分析数据并从可用数据中找出关键,以有效地创建和维护用户配置文件是非常重要的。本文解释了一种不可缺少的技术——聚类技术的使用,该技术用于将表现出相似行为的项目分组到不同的项目集中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clustering in User Information Retrieval on Web
This paper focuses on personalization of "user information needs" by applying clustering techniques of data mining. In the current data centric world, it is very important to analyze data properly and draw the crux from the available for effective creation and maintenance of user profiles. This paper throws explains the use of an indispensable technique called Clustering Technique, which is used to group items exhibiting similar behavior into different item sets.
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