Title

Improved Relevancy Ranking Using Statistical Ranking, Semantics, Relevancy Feedback, and Small Pieces of Text

Creator

James Driscoll

Abstract

Search system and method for retrieving relevant documents from a text data base collection comprised of patents, medical and legal documents, journals, news stories and the like. Each small piece of text within the documents such as a sentence, phrase and semantic unit in the data base is treated as a document. Natural language queries are used to search for relevant documents from the data base. A first search query creates a selected group of documents. Each word in both the search query and in the documents are given weighted values. Combining the weighted values creates similarity values for each document which are then ranked according to their relevant importance to the search query. A user reading and passing through this ranked list checks off which documents are relevant or not. Then the system automatically causes the original search query to be updated into a second search query which can include the same words, less words or different words than the first search query. Wor

Document Type

Patent

Patent Number

5,642,502

Application Serial Number

08/350,334

Issue Date

6-24-1997

Current Assignee

UCFRF

Assignee at Issuance

UCFRF

College

College of Engineering and Computer Science (CECS)

Department

Computer Science

Allowance Date

December 1996

Filing Date

December 1994

Assignee at Filing

UCFRF

Filing Type

Nonprovisional Application Record

Donated

no

Link to Patent
PDF on Google Patents

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