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

• US 20130275420A1
• Filed: 05/20/2013
• Published: 10/17/2013
• Est. Priority Date: 02/03/2010
• Status: Abandoned Application

• Current Assignee: MetaJure Incorporated
• Original Assignee: MetaJure Incorporated
• Inventors: Adler, Dennis R., Smith, Martin F., Corbett, Richard J., Harrang, Kevin J.
• Application Number:
  US13/898,361
• Publication Number:
  US 20130275420A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9032 Query formulation

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.

Claims

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.