The Google Hilltop Algorithm, p. 2

June 4th, 2004      (Continued)

Following this principle, as an example, Google would rank a page higher if it has 100 links pointing to it, when compared to another page with only 10 links. So far, so good and this principle makes a lot of sense when you think of it.

Definition of the Google Hilltop algorithm
In contrast to PageRank™, the Google Hilltop algorithm determines the relevance and importance of a specific web page determined by the search query or keyword used in the search box. In its basic, simplest form, instead of relying only on the PageRank™ value to find “authoritative pages”, it would be more useful if that “PR value” (PageRank™ value) would be more relevant by the topic or subject of that same page.

In such a way, computing links from documents that are relevant to a specific topic or relevant document of a web page would be of greater value to a searcher. In 1999 and 2000, when the Google Hilltop algorithm was being developed by engineer Krishna Bharat and others at Google, they called such relevant documents “expert documents” and links from these expert documents to the target documents determined their “score of authority”. Again, it does make a lot of sense.

For more in-depth information on this important topic, read the Hilltop Paper that was written by Krishna Bharat himself and is available from the University of Toronto’s computer science department. Using the Hilltop algorithm to define related sites, Google also uses the Hilltop algorithm to better define how a site is related to another, such as in the case of affiliated sites or similar properties. The Hilltop algorithm is in fact Google’s technology and ‘ammunition’ in detecting sites that use heavy cross-linking or similar strategies!

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Rank for $ales
Copyright (c) Serge Thibodeau 2003

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