document: A link classification based approach to website topic hierarchy generation Hierarchical models are commonly used to organize a Website 's content . A Website 's content structure can be represented by a topic hierarchy , a directed tree rooted at a Website 's homepage in which the vertices and edges correspond to Web pages and hyperlinks . In this work , we propose a new method for constructing the topic hierarchy of a Website . We model the Website 's link structure using weighted directed graph , in which the edge weights are computed using a classifier that predicts if an edge connects a pair of nodes representing a topic and a sub-topic . We then pose the problem of building the topic hierarchy as finding the shortest-path tree and directed minimum spanning tree in the weighted graph . We 've done extensive experiments using real Websites and obtained very promising results .
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