Systems and methods to tune a general-purpose search engine for a search entry point
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United States of America Patent
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Aug 7, 2012
Grant Date -
Dec 23, 2004
app pub date -
Jun 20, 2003
filing date -
Jun 20, 2003
priority date (Note) -
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Abstract
The present invention provides systems and methods that employ statistical filtering and ranking techniques to improve content search engine search results by tuning a general-purpose search engine for an entry point for a group of users. The filter can be manually and/or automatically configured via providing training sets of relevant and non-relevant data. For example, a relevant set of data comprising web pages associated with a desired search context for the group utilizing the entry point can be employed. In addition, a non-relevant set of data comprising random and unrelated documents can be employed. The learned filter can then be employed to compare a returned result with the known relevant and the known non-relevant data sets to determine whether the result is relevant to the user for the entry point, and the degree of relevance. The results can then be presented to the user based on the relevance.
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