A system is described for classifying a search query. The system may create a machine learning classifier function that may be "trained" by a plurality of categorized queries within a query taxonomy. The system may represent the queries as term vectors and input the term vectors to the machine learning classifier function to generate a value that may correspond to a particular category within the query taxonomy. The system may regularize the machine learning classifier function based on user search click data to improve the classifying accuracy.

 
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< Integrated search engine devices having pipelined search and b-tree maintenance sub-engines therein

> User interfaces for search systems using in-line contextual queries

> Multi-dimensional locating system and method

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