Evaluation of hotlink assignment heuristics for improving web access

被引:0
|
作者
Czyzowicz, J [1 ]
Kranakis, E [1 ]
Krizanc, D [1 ]
Pelc, A [1 ]
Martin, MV [1 ]
机构
[1] Univ Quebec, Dept Informat, Hull, PQ J8X 3X7, Canada
关键词
web site performance; hotlinks; simulations; random trees; random web sites;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We study the optimal hotlink assignment problem. Consider a web site as a directed graph, where each page is represented by a node and each link is represented by an edge. The resulting graph is connected and may have cycles. It was previously proven that the hotlink assignment problem is NP-hard in its full generality. We describe a way of constructing a tree that maintains the original semantic relationship between the pages of a web site. We then proceed to describe three algorithms that improve access in web site trees. We simulate our algorithms in three different, but closely related, kinds of trees: power-law trees, realistic trees, and an actual tree. These algorithms are capable of obtaining considerable savings on the access cost of the web site.
引用
收藏
页码:793 / 799
页数:7
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