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Topic Distillation
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Topic Distillation -
Topic Distillation [Kleinberg 97, Chakrabarti et al 98, Bharat et al 98,
Chakrabarti et al 99] is a search algorithm based on connectivity and comparable to the Hilltop Search Algorithm
and
Google PageRank. It is based on scoring of a page based on links from a
"community" of pages that are relevant to the same query. It is therefore useful only for queries where there is
such a community of pages - generally broad queries such as "Search Engines" as opposed for example to "authors of
Pagerank algorithm." Topic Distillation first computes a query specific subgraph of the Web, by including
pages on the query topic in the graph and ignoring pages not on the topic. Then the algorithm computes a score for every
page in the subgraph based on hyperlink connectivity. That is, each page is given an authority score, computed by
summing the weights of all incoming links to the page. For each such reference, its weight is computed by evaluating
how good the referring page is as a source of links.
Note - Definitions of Search Engine
Optimization terms are based on inferences from common usage and definitions given by other sources. Conclusions about
search engine behavior are based on understanding of the behavior of the most popular search engines. Both are subject
to error or may change. Search engine company management may define or use a term or set or change any policy in any way
they see fit, and may make these definitions and specifications public or not. These decisions and definitions are
beyond our control. Notice: Copyright
All materials are copyright 2008 by Ami Isseroff. All rights reserved. These pages may not be reproduced in any
form in electronic or printed media without express written permission from the author.
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