1. A method comprising: using one or more search terms of an original query to generate an expertise mining query; executing the expertise mining query to create search results; filtering the search results based in part on a user identification; identifying well-structured search items from the filtered search results; ranking authors associated with the well-structured search items using an expertise mining algorithm comprising: a first post-processing stage to: calculate a cumulative rank calculation for each author based in part on a document rank and a number of authored documents, and generate a first author ranking output based on the cumulative rank calculation; and a second post-processing stage to: identify an association between the first author ranking output and the original query, and generate a second author ranking output based on the identified association, wherein the identified association is based in part on occurrences of one or more of the search terms in title and uniform source locator (URL) attributes of the first author ranking output; determining one or more ranked authors by merging the first author ranking output from the first post-processing stage and the second author ranking output from the second post-processing stage; and automatically providing one or more expanding query terms with the original query including one or more of the ranked authors to provide an expanded query for use in mining expertise information.
1. A method comprising: using one or more search terms of an original query to generate an expertise mining query; executing the expertise mining query to create search results; filtering the search results based in part on a user identification; identifying well-structured search items from the filtered search results; ranking authors associated with the well-structured search items using an expertise mining algorithm comprising: a first post-processing stage to: calculate a cumulative rank calculation for each author based in part on a document rank and a number of authored documents, and generate a first author ranking output based on the cumulative rank calculation; and a second post-processing stage to: identify an association between the first author ranking output and the original query, and generate a second author ranking output based on the identified association, wherein the identified association is based in part on occurrences of one or more of the search terms in title and uniform source locator (URL) attributes of the first author ranking output; determining one or more ranked authors by merging the first author ranking output from the first post-processing stage and the second author ranking output from the second post-processing stage; and automatically providing one or more expanding query terms with the original query including one or more of the ranked authors to provide an expanded query for use in mining expertise information. 8. The method of claim 1 , further comprising limiting the execution of the expertise mining query to well-structured search items including word processing application files, spreadsheet application files, portable data files, and presentation application files.