Retrieval Efficiency of Major Search Engines - 5 Angebote vergleichen

Bester Preis: 45,99 (vom 02.05.2018)
1
Peerzada Mohd. Iqbal

Retrieval Efficiency of Major Search Engines (2018)

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783330021372 bzw. 3330021373, in Deutsch, LAP Lambert Academic Publishing Apr 2018, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - This book is an outcome of a research conducted on seven major search engines - Google, Bing, Yahoo, Ask, Baidu, Dogpile and DuckDuckgo (Chosen on filtration of certain parameters which are explained in the book). These search engines are selected for retrieving scholarly articles using Library and Information Science related search terms. The search engines are evaluated by taking the first twenty results pertaining to 'scholarly articles' for estimation of precision, recall and F-measure. The study is systematically organized into various sections describing the various stages of this research. 204 pp. Englisch, Books.
2

Retrieval Efficiency of Major Search Engines

Lieferung erfolgt aus/von: Deutschland DE HC NW

ISBN: 9783330021372 bzw. 3330021373, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.

Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
This book is an outcome of a research conducted on seven major search engines - Google, Bing, Yahoo, Ask, Baidu, Dogpile and DuckDuckgo (Chosen on filtration of certain parameters which are explained in the book). These search engines are selected for retrieving scholarly articles using Library and Information Science related search terms. The search engines are evaluated by taking the first twenty results pertaining to ´scholarly articles´ for estimation of precision, recall and F-measure. The This book is an outcome of a research conducted on seven major search engines - Google, Bing, Yahoo, Ask, Baidu, Dogpile and DuckDuckgo (Chosen on filtration of certain parameters which are explained in the book). These search engines are selected for retrieving scholarly articles using Library and Information Science related search terms. The search engines are evaluated by taking the first twenty results pertaining to ´scholarly articles´ for estimation of precision, recall and F-measure. The study is systematically organized into various sections describing the various stages of this research. Versandfertig in 3-5 Tagen Lieferzeit 1-2 Werktage.
3
Peerzada Mohd. Iqbal

Retrieval Efficiency of Major Search Engines (2018)

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783330021372 bzw. 3330021373, in Deutsch, 204 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Buchhandlung Kisch & Co. [3338288].
Neuware - This book is an outcome of a research conducted on seven major search engines - Google, Bing, Yahoo, Ask, Baidu, Dogpile and DuckDuckgo (Chosen on filtration of certain parameters which are explained in the book). These search engines are selected for retrieving scholarly articles using Library and Information Science related search terms. The search engines are evaluated by taking the first twenty results pertaining to 'scholarly articles' for estimation of precision, recall and F-measure. The study is systematically organized into various sections describing the various stages of this research. 28.04.2018, Taschenbuch, Neuware, 220x150x12 mm, 320g, 204, Internationaler Versand, offene Rechnung (Vorkasse vorbehalten), PayPal, Banküberweisung.
4
Mohd. Iqbal, Peerzada

Retrieval Efficiency of Major Search Engines

Lieferung erfolgt aus/von: Deutschland DE PB NW

ISBN: 9783330021372 bzw. 3330021373, in Deutsch, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | This book is an outcome of a research conducted on seven major search engines - Google, Bing, Yahoo, Ask, Baidu, Dogpile and DuckDuckgo (Chosen on filtration of certain parameters which are explained in the book). These search engines are selected for retrieving scholarly articles using Library and Information Science related search terms. The search engines are evaluated by taking the first twenty results pertaining to 'scholarly articles' for estimation of precision, recall and F-measure. The study is systematically organized into various sections describing the various stages of this research. | Format: Paperback | Language/Sprache: english | 204 pp.
5
Peerzada Mohd. Iqbal

Retrieval Efficiency of Major Search Engines (2018)

Lieferung erfolgt aus/von: Deutschland EN PB NW

ISBN: 9783330021372 bzw. 3330021373, in Englisch, 204 Seiten, Lap Lambert Academic Publishing, Taschenbuch, neu.

Lieferung aus: Deutschland, Versandfertig in 4 - 5 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, preigu.
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