Computer-Implemented System And Method For Conducting A Document Search Via Metaprints

Abstract

A computer-implemented system and method for conducting a document search based on metaprints is provided. A plurality of metaprints comprising metadata keywords and associated frequencies of occurrence of the metadata keywords within a plurality of documents are maintained. A search query is received and executed against the metaprints. The metadata keywords that match the query are identified and the metaprints associated with the matched metadata keywords are obtained. A further search query is generated based on the obtained metaprints and is applied to a set of documents. Those documents that match the frequencies of occurrence associated with the obtained metaprints are identified.

What is claimed is: 
     
         1 . A computer-implemented system for conducting a document search via metaprints, comprising:
 a plurality of metaprints comprising metadata keywords and associated frequencies of occurrence of the metadata keywords within a plurality of documents;   a search module to receive a search query, to execute the query against the metaprints, and to identify the metadata keywords that match the query;   a matching module to obtain the metaprints associated with the matched metadata keywords;   a metaprint query module to generate a further search query based on the obtained metaprints; and   a further search module to apply the further search query to a set of documents and to identify those documents that match the frequencies of occurrence associated with the obtained metaprints.   
     
     
         2 . A system according to  claim 1 , further comprising:
 a result module to provide the search results as a link to cached versions of the result documents.   
     
     
         3 . A system according to  claim 2 , further comprising:
 a ranking module to rank the search results based on one of automatically ranking the documents and receiving rankings from a user.   
     
     
         4 . A system according to  claim 3 , wherein the automatic ranking is based on user click-through rates. 
     
     
         5 . A system according to  claim 1 , further comprising:
 a term search module to concurrently apply the search query to the set of documents and identifying those documents that match the search query as different results of the search query.   
     
     
         6 . A system according to  claim 1 , wherein the word frequencies comprise inverse word frequencies. 
     
     
         7 . A system according to  claim 1 , further comprising:
 a merge module to combine one or more of the search results in a single document.   
     
     
         8 . A system according to  claim 1 , further comprising:
 a synonym module to associate one or more synonyms with at least one of the metadata keywords.   
     
     
         9 . A system according to  claim 1 , further comprising:
 a filter module to filter the metadata keywords prior to executing the search query against the metaprints based on a predictive value of each such metadata keyword to identify documents.   
     
     
         10 . A system according to  claim 1 , further comprising:
 a frequency determination module to determine the occurrence frequencies associated with each of the metadata keywords based on one of previously generated word frequencies and an on-demand request to determine the occurrence frequencies.   
     
     
         11 . A computer-implemented method for conducting a document search via metaprints, comprising:
 maintaining a plurality of metaprints comprising metadata keywords and associated frequencies of occurrence of the metadata keywords within a plurality of documents;   receiving a search query and executing the query against the metaprints;   identifying the metadata keywords that match the query;   obtaining the metaprints associated with the matched metadata keywords;   generating a further search query based on the obtained metaprints; and   applying the further search query to a set of documents and identifying those documents that match the frequencies of occurrence associated with the obtained metaprints.   
     
     
         12 . A method according to  claim 11 , further comprising:
 providing the search results as a link to cached versions of the result documents.   
     
     
         13 . A method according to  claim 12 , further comprising:
 ranking the search results, comprising at lest one of:
 automatically ranking the documents; and 
 receiving rankings from a user. 
   
     
     
         14 . A method according to  claim 13 , wherein the automatic ranking is based on user click-through rates. 
     
     
         15 . A method according to  claim 11 , further comprising:
 concurrently applying the search query to the set of documents and identifying those documents that match the search query as different results of the search query.   
     
     
         16 . A method according to  claim 11 , wherein the word frequencies comprise inverse word frequencies. 
     
     
         17 . A method according to  claim 11 , further comprising:
 combining one or more of the search results in a single document.   
     
     
         18 . A method according to  claim 11 , further comprising:
 associating one or more synonyms with at least one of the metadata keywords.   
     
     
         19 . A method according to  claim 11 , further comprising:
 filtering the metadata keywords prior to executing the search query against the metaprints based on a predictive value of each such metadata keyword to identify documents.   
     
     
         20 . A method according to  claim 11 , further comprising:
 determining the occurrence frequencies associated with each of the metadata keywords based on one of previously generated word frequencies and an on-demand request to determine the occurrence frequencies.