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Selective databases customized to match user's level of expertise or need Disclosure Number: IPCOM000015684D
Original Publication Date: 2002-Apr-01
Included in the Prior Art Database: 2003-Jun-21

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As more information is put online, it is taking longer to wade through potential tidbits of information. An example of this would be the database provided for an operating system's documentation. Not only does it cover the base use of the operating system, but it also provides the deep down kernel information required for users who might want to write kernel programs. And on the other end of the spectrum, it must also provide user manuals or help for application programs that sit on top of the operating system. The positive aspect of documentation is a tremendous amount is now in "softcopy" with associated search tools. The negative aspect of documentation is with so much more information online, or as a result of common keyword hits, the user is inundated with too many hits. They must slog through all the hits and see how the data hits apply to their situation. Proposed is a method to tie the depth of the available knowledge database to the expertise or need of the user. Here are three possible variants of this idea: a) give the user a very lengthy questionnaire. Based on the answers provided by the questionnaire, customize the information database so only the answers that pertain to their expected needs are searched when a question is asked. b) have an active monitor of user actions track the distinct command line commands a user types. Based on the evaluation of those command "families" different levels of the database are exposed to the user in searches.