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Dynamic Hotlinks

机译:动态热门链接

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摘要

Consider a directed rooted tree T = (V, E) representing a collection V of n web pages connected via a set E of links all reachable from a source home page, represented by the root of T. Each web page i carries a weight w_i representative of the frequency with which it is visited. By adding hotlinks, shortcuts from a node to one of its descendents, we are interested in minimizing the expected number of steps needed to visit pages from the home page. We give the first linear time algorithm for assigning hotlinks so that the number of steps to accede to a page i from the root of the tree reaches the entropy bound, i.e. is at most O(log W/(w_i)) where W = Σ_(i∈T) w_i The best previously known algorithm for this task runs in time O(n~2). We also give the first efficient data structure for maintaining hotlinks when nodes are added, deleted or their weights modified, in amortized time O(log W/(w_i)) per update. The data structure can be made adaptative, i.e. reaches the entropy bound in the amortized sense without knowing the weights W_i in advance.
机译:考虑有向根树T =(V,E)代表通过从源主页可达的链路的所有的一组E,由T的根表示连接N个Web页的集合V各自网页我承载重量w_i代表与它被访问的频率的。通过添加热链接,从到其后代的一个节点的快捷方式,我们感兴趣的是最小化的参观从主页页面所需的步骤预期数量。我们给第一线性时间算法用于分配热链接,使得步骤数加入到页面i。从该树的根到达结合熵,即至多为O(log W /(w_i))其中W =Σ_ (i∈T)w_i最好先前已知的算法在时间为O(n〜2)本任务运行。我们还给出了每更新保持热链接当节点被添加,缺失或它们的权重修改,分期时间为O(log W /(w_i))所述第一有效的数据结构。该数据结构可以由适应性,即到达摊销拘束感,而无需知道权重W_i预先熵。

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