Recommending documents sets based on a similar set of correlated features

A computer system for improving data processing of a plurality of user-entered search text by recommending a plurality of alternate search keywords, the computer system comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• executing a first search query using the plurality of user-entered search text, wherein the first search query is based on a keyword group identified from the plurality of user-entered search text using an automatic summarization;
• identifying a highest contribution keyword from the keyword group based on a plurality of search results of the executed first search query, wherein identifying the highest contribution keyword based on calculating a contribution value of each keyword from the executed first search query to a plurality of search results, wherein the contribution value is calculated using an equation (1+log(numDocs/docfreq+1)), wherein numDocs is a number of total search result hits, and wherein docfreq is a number of documents within the search results within which a particular keyword appears;
• identifying a highest correlation alternate keyword to the identified highest contribution keyword;
• creating an alternate keyword group from the keyword group by replacing the identified highest contribution keyword with the identified highest correlation alternate keyword;
• executing a second search query using the created alternate keyword group;
• and
• displaying, using a graphical user interface, the plurality of search results associated with the executed first search query and the plurality of search results associated with the executed second search query coupled with a plurality of statistics associated with the executed second search query.

A computer program product for improving data processing of a plurality of user-entered search text by recommending a plurality of alternate search keywords, the computer program product comprising:

• one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor, the program instructions comprising:
• program instructions to execute a first search query using the plurality of user-entered search text, wherein the first search query is based on a keyword group identified from the plurality of user-entered search text using an automatic summarization;
• program instructions to identify a highest contribution keyword from the keyword group based on a plurality of search results of the executed first search query, wherein program instructions to identify the highest contribution keyword are based on calculating a contribution value of each keyword from the executed first search query to a plurality of search results, wherein the contribution value is calculated using an equation (1+log(numDocs/docfreq+1)), wherein numDocs is a number of total search result hits, and wherein docfreq is a number of documents within the search results within which a particular keyword appears;
• program instructions to identify a highest correlation alternate keyword to the identified highest contribution keyword;
• program instructions to create an alternate keyword group from the keyword group by replacing the identified highest contribution keyword with the identified highest correlation alternate keyword;
• program instructions to execute a second search query using the created alternate keyword group;
• and
• program instructions to display, using a graphical user interface, the plurality of search results associated with the executed first search query and the plurality of search results associated with the executed second search query coupled with a plurality of statistics associated with the executed second search query.