Abstract
An approach is proposed that uses a set of interesting Web pages as starting point for a minimum walk algorithm to provide recommendations of additionally important Web information within a m-clicks-ahead situation. A discussion of known page importance ranking techniques as well as examples of the application of the new algorithm show that Web link structure dependent approaches should be enriched by considerations as to how the analysis of additional data and the use of suited support tools can be incorporated. These considerations include aspects as, e.g., personalization, query dependence and topic sensitivity of the underlying pages, the dynamic nature of the Web, as well as the possibility to perform calculations online.
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