MANAGING SEARCH ENGINES USING DYNAMIC SIMILARITY

This disclosure relates to systems and methods for managing a search engine using dynamic similarity. A method includes retrieving a query submitted to a production search engine, executing the query at a testing search engine to generate testing search results, comparing the production search resul...

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Hauptverfasser: Chernyak Michael, Buthay Diego
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Sprache:eng
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creator Chernyak Michael
Buthay Diego
description This disclosure relates to systems and methods for managing a search engine using dynamic similarity. A method includes retrieving a query submitted to a production search engine, executing the query at a testing search engine to generate testing search results, comparing the production search results with the testing search results to generate a correlation coefficient, selecting a similarity threshold constraint using the correlation coefficient, and flagging the testing search engine as valid in response to the correlation coefficient satisfying the similarity threshold constraint.
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A method includes retrieving a query submitted to a production search engine, executing the query at a testing search engine to generate testing search results, comparing the production search results with the testing search results to generate a correlation coefficient, selecting a similarity threshold constraint using the correlation coefficient, and flagging the testing search engine as valid in response to the correlation coefficient satisfying the similarity threshold constraint.</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title MANAGING SEARCH ENGINES USING DYNAMIC SIMILARITY
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