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rdf:type
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Description
| - An information retrieval (IR) system (IRs) (search engine) is said to be efficient, to the degree that always evaluates each object in the information base (database, document base, web,...) like the expert. The ability of IRs's is to retrieve mostly all relevant objects (measured by the recall), and only the (most) relevant objects (measured by the precision) from the collection queried. Recall and precision measures provide the classical measure of the retrieval efficiency. They measure the degree to which the query answer (the set of documents that retrieved by IRs as response to the user query). Where, the query answer is the set of relevant documents in the information based queried. Retrieving most relevant documents to the user query in IRs was one of the most important methods of World Wide Web (WWW) search engines used in the world now.
- An information retrieval (IR) system (IRs) (search engine) is said to be efficient, to the degree that always evaluates each object in the information base (database, document base, web,...) like the expert. The ability of IRs's is to retrieve mostly all relevant objects (measured by the recall), and only the (most) relevant objects (measured by the precision) from the collection queried. Recall and precision measures provide the classical measure of the retrieval efficiency. They measure the degree to which the query answer (the set of documents that retrieved by IRs as response to the user query). Where, the query answer is the set of relevant documents in the information based queried. Retrieving most relevant documents to the user query in IRs was one of the most important methods of World Wide Web (WWW) search engines used in the world now. (en)
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Title
| - Grow up precision recall relationship curve in IR system using GP and fuzzy optimization in optimizing the user query
- Grow up precision recall relationship curve in IR system using GP and fuzzy optimization in optimizing the user query (en)
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skos:prefLabel
| - Grow up precision recall relationship curve in IR system using GP and fuzzy optimization in optimizing the user query
- Grow up precision recall relationship curve in IR system using GP and fuzzy optimization in optimizing the user query (en)
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skos:notation
| - RIV/61989100:27240/07:00021213!RIV11-AV0-27240___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(1ET100300414), Z(MSM6198910027)
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27240/07:00021213
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - recall and harmonic mean; precision; term weights; Boolean operator; fuzzy optimization; genetic programming; information retrieval (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Krömer, Pavel
- Snášel, Václav
- Owais, Suhail Sami Jebour
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http://linked.open...ain/vavai/riv/wos
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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