An efficient approach for web navigation using ant colony optimization

Hitesh Hasija
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引用次数: 1

Abstract

Implementing an optimization technique to provide user navigation is a difficult task because users are dynamic in nature. But, this paper satisfies this demand by providing ranking to different parameters like usability aspects (web usage mining) and also to the keywords & description of web pages (web content mining) as well as to the in links and out links (web structure mining) and provides relative information matrix for different web pages. This model is converted to graph form and ant colony optimization is applied over it, by defining a suitable heuristic function and optimum results are obtained within a specified time constraint.
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一种基于蚁群优化的网页导航方法
实现为用户提供导航的优化技术是一项艰巨的任务,因为用户本质上是动态的。但是,本文通过对可用性等不同参数进行排序(web使用率挖掘),对网页的关键词和描述进行排序(web内容挖掘),对网页的内链接和外链接进行排序(web结构挖掘),满足了这一需求,并提供了不同网页的相关信息矩阵。将该模型转换为图形形式,通过定义合适的启发式函数对其进行蚁群优化,在给定的时间约束下得到最优结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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