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Manual Tagging & XML | | | Page Ranking | | | Explicit Thesauri |
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Page Ranking and Popularity-Based Internet Methods
Page Ranking is an approach to ordering search results in a meaningful way. The technology determines a web page's importance depending on how many other pages link to it, and on how "important" those pages are considered. This is then used in conjunction with a keyword entered by the user to conduct a search for the 'most relevant' results.
Too General
Page Ranking orders search results so that the page with the most links to it is automatically considered the most relevant, regardless of the context in which the keyword appears on the page. This means that users will be directed to the most general pages first, and it is assumed that most people will only want a general overview of a particular topic.
For more specific information, a user must guess the correct keywords with which to conduct a successful search. This approach does not take into account users' idiosyncrasies or individual focus.
Ineffective in the Enterprise
A fundamental problem that this approach causes for the enterprise is that it relies on manually added hyperlinks. As manual hyperlinks are rare and inconsistent, the algorithm used for establishing relevance can break down completely due to lack of information.
Autonomy's Approach
Autonomy is able to understand the content of any given page and make contextual associations between pages, documents and search queries, ensuring that users are always provided with information that is particularly relevant to them. Autonomy does not rely on keyword search and does not need lists of links to tell it which pages are relevant to a query.
The Evolution of Search| Technology |
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Manual Tagging & XML | | | Page Ranking | | | Explicit Thesauri |
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