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The Best Trail Algorithm for Assisted Navigation of Web Sites

Richard Wheeldon·Mark Levene
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Abstract

We present an algorithm called the Best Trail Algorithm, which helps solve the hypertext navigation problem by automating the construction of memex-like trails through the corpus. The algorithm performs a probabilistic best-first expansion of a set of navigation trees to find relevant and compact trails. We describe the implementation of the algorithm, scoring methods for trails, filtering algorithms and a new metric called \emph{potential gain} which measures the potential of a page for future navigation opportunities.

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Richard Wheeldon, Mark Levene. 2003-06-22. The Best Trail Algorithm for Assisted Navigation of Web Sites. https://arxiv.org/abs/cs/0306122

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