Enhancing cluster analysis using document metadata
First Claim
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1. A method comprising:
- receiving a search query comprising of at least one search criteria, wherein the at least one search criteria is a text string;
executing a search against an enhanced index, wherein the enhanced index is comprised of metadata associated with an enhanced cluster, wherein the enhanced cluster is a document cluster generated utilizing the metadata associated with documents, wherein the metadata is used to indicate conceptually similar documents;
aggregating the enhanced cluster each into a merged document, wherein the merged document is a document comprising of the enhanced cluster contents; and
executing a ranking algorithm on the merged document to obtain a final ranking of content within the merged document, wherein the metadata is a keyword tag, wherein the keyword tag is a product platform value, audience value, and a version revision.
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Abstract
A search query including search criteria can be received. The search criteria can be a text string. An enhanced search against an enhanced index can be executed. The enhanced index can be metadata associated with an enhanced cluster. The enhanced cluster can be a document cluster associated with the metadata. The enhanced cluster can be aggregated into a merged document. The merged document can be a document including the enhanced cluster contents. The ranking algorithm can be executed on the merged document to obtain a final ranking of content within the single document.
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Citations
15 Claims
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1. A method comprising:
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receiving a search query comprising of at least one search criteria, wherein the at least one search criteria is a text string; executing a search against an enhanced index, wherein the enhanced index is comprised of metadata associated with an enhanced cluster, wherein the enhanced cluster is a document cluster generated utilizing the metadata associated with documents, wherein the metadata is used to indicate conceptually similar documents; aggregating the enhanced cluster each into a merged document, wherein the merged document is a document comprising of the enhanced cluster contents; and executing a ranking algorithm on the merged document to obtain a final ranking of content within the merged document, wherein the metadata is a keyword tag, wherein the keyword tag is a product platform value, audience value, and a version revision. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method comprising:
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receiving a search query comprising of at least one search criteria, wherein the at least one search criteria is a text string; executing a search against an enhanced index, wherein the enhanced index is comprised of metadata associated with an enhanced cluster, wherein the enhanced cluster is a document cluster generated utilizing the metadata associated with documents, wherein the metadata is used to indicate conceptually similar documents; aggregating the enhanced cluster each into a merged document, wherein the merged document is a document comprising of the enhanced cluster contents; executing a ranking algorithm on the merged document to obtain a final ranking of content within the merged document; and populating a database with a tag, a link, and a table of contents associated with a document, wherein the document is associated with the enhanced cluster. - View Dependent Claims (13, 14)
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15. A method comprising:
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receiving a search query comprising of at least one search criteria, wherein the at least one search criteria is a text string; executing a search against an enhanced index, wherein the enhanced index is comprised of metadata associated with an enhanced cluster, wherein the enhanced cluster is a document cluster generated utilizing the metadata associated with documents, wherein the metadata is used to indicate conceptually similar documents; aggregating the enhanced cluster each into a merged document, wherein the merged document is a document comprising of the enhanced cluster contents; executing a ranking algorithm on the merged document to obtain a final ranking of content within the merged document; and presenting a search result associated with the search query within an interface, wherein the search result is a document cluster comprising of a plurality of documents associated with a standard cluster and an enhanced cluster, wherein the interface comprises a visual search result section and a textual search result section, wherein a tree graph is presented within the visual search result section for the search result when a user interacts with the search result.
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Specification