Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
1999-08-04
2001-07-24
Powell, Mark R. (Department: 2122)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C706S015000
Reexamination Certificate
active
06266668
ABSTRACT:
TECHNICAL FIELD OF THE INVENTION
This invention relates generally to the use of a dynamic search engine and, more particularly, to a dynamic search engine applied to the Internet that allows for customized queries and relevant responses.
BACKGROUND OF THE INVENTION
Current Internet search tools often provide irrelevant data sites or web sites. Often, current search tools provide a score of relevance according to text frequency within a given data site or web page. For example, “termites” and “Tasmania” and “not apples”:
If a web page has several instances of the word “termites” (600 for example), the web page would receive a high relevance score.
A web page with 600 “termites” and one “Tasmania” would receive a slightly higher score.
A web page with the above plus “apples” would then receive a slightly lesser score.
Therefore, a score of relevance according to a data site or web page is often based on text or word frequency. Therefore current search tools often provide a list of irrelevant web pages. Furthermore, there is the opportunity for abuse in and associated with the method of the available search tools. Current search tools often provide links that are stale (old data that is no longer at the address of the data site). Existing search tools utilize indices that are compiled in the background continuously. However, with respect to an individual query, a historical result is received. Therefore, the search process involves a large amount of filtering by the individual user.
Therefore, there is a need to more efficiently utilize search tools to overcome irrelevant results. At present, it is desirable to have an efficient method for performing a search which would take into account demographic as well as historical user information to filter irrelevant data from the results from existing search tools.
Furthermore, it is desirable to have a search engine which will evaluate and filter stale data responses from an existing search tool response.
SUMMARY OF THE INVENTION
In accordance with the present invention, a method and system for searching databases in response to a query is provided that substantially eliminates or reduces disadvantages and problems associated with previous methods and systems for searching databases.
More specifically, the present invention provides a system and method for dynamic data-mining and on-line communication of customized information. This method includes the steps of first creating a search-specific profile. This search-specific profile is then input into a data-mining search engine. The data-mining search engine will mine the search-specific profile to determine at least one topic of interest. The at least one topic of interest may comprise a specific and/or related topics to interest. The at least one topic of interest is outputted to at least one search tool. These search tools match the at least one topic of interest to at least one destination data site. The destination data sites (web page) are evaluated to determine if relevant information is present in the destination data site. If relevant information is present at the destination data site, this data site may be presented to a user.
One broad aspect of the present invention includes the coupling of a data-mining search engine to at least one search tool. This data-mining search engine can review and evaluate data sites. Current search tools available may create a massive index of potential data sites. The data-mining engine of the present invention evaluates whether data accumulated by current search tools are relevant to a user and filters out non-relevant information.
The present invention provides an advantage by providing a search engine algorithm that provides fresh (as opposed to stale) links to more highly relevant web pages (data sites) than provided by the current search engines.
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Black Christopher Lee
Vanderveldt Ingrid V.
Akin Gump Strauss Hauer & Feld L.L.P.
Dryken Technologies, Inc.
Khatri Anil
Powell Mark R.
Rourk Christopher J.
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