Vertical Meta Search Engine with Query Expansion through ARFT: A Vertical Meta Search Engine with QueryExpansion through Artificial RelevanceFeedback Technique - Couverture souple

Kushwaha, Satpal Singh; Hemrajani, Prashant; Joshi, Sandeep

9786202922401: Vertical Meta Search Engine with Query Expansion through ARFT: A Vertical Meta Search Engine with QueryExpansion through Artificial RelevanceFeedback Technique

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ISBN 10 : 6202922400 ISBN 13 : 9786202922401

Editeur : LAP LAMBERT Academic Publishing, 2020

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World Wide Web is growing day by day so with this rapid development in internet size,Information extraction on Internet is gaining its importance day by day. Nowadays there aremillions of Websites and billions of homepages available on the Internet. A large amount of onlineinformation resides on the invisible web – web pages generated dynamically from databasesand other data sources hidden from the user. They are not indexed by a static URL but isgenerated when queries are asked via a search engine (we denote them as specialized searchengines or vertical search engine). OpenFind states that it indexes 3.5 billion Web pages; Googleclaims 2.4 billion, AlltheWeb - 2.1 billion, Inktomi - a little more than 2 billion, WiseNut - 1.5billion and AltaVista - 1 billion Web pages. No search engine index more than one third of thetotal size of the web. So from this big collection of web pages information retrieval is a verycrucial task. The user query plays a vital role in the information retrieval process.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2020
Langue: anglais
ISBN 10: 6202922400
ISBN 13: 9786202922401
Reliure: Broch�
Nombre de pages: 76
Coordonn�es du fabricant: non disponible
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Vertical Meta Search Engine with Query Expansion through ARFT

Satpal Singh Kushwaha|Prashant Hemrajani|Sandeep Joshi

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 6202922400 ISBN 13 : 9786202922401

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kushwaha Satpal SinghAssistant Professor,SCIT, Manipal University Jaipur, JaipurWorld Wide Web is growing day by day so with this rapid development in internet size,Information extraction on Internet is gaining its importance day. N� de r�f. du vendeur 408603766

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Vertical Meta Search Engine with Query Expansion through ARFT

Satpal Singh Kushwaha

Edit� par LAP LAMBERT Academic Publishing Okt 2020, 2020

ISBN 10 : 6202922400 ISBN 13 : 9786202922401

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -World Wide Web is growing day by day so with this rapid development in internet size,Information extraction on Internet is gaining its importance day by day. Nowadays there aremillions of Websites and billions of homepages available on the Internet. A large amount of onlineinformation resides on the invisible web - web pages generated dynamically from databasesand other data sources hidden from the user. They are not indexed by a static URL but isgenerated when queries are asked via a search engine (we denote them as specialized searchengines or vertical search engine). OpenFind states that it indexes 3.5 billion Web pages; Googleclaims 2.4 billion, AlltheWeb - 2.1 billion, Inktomi - a little more than 2 billion, WiseNut - 1.5billion and AltaVista - 1 billion Web pages. No search engine index more than one third of thetotal size of the web. So from this big collection of web pages information retrieval is a verycrucial task. The user query plays a vital role in the information retrieval process. 76 pp. Englisch. N� de r�f. du vendeur 9786202922401

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Vertical Meta Search Engine with Query Expansion through ARFT : A Vertical Meta Search Engine with QueryExpansion through Artificial RelevanceFeedback Technique

Satpal Singh Kushwaha

Edit� par LAP LAMBERT Academic Publishing, 2020

ISBN 10 : 6202922400 ISBN 13 : 9786202922401

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - World Wide Web is growing day by day so with this rapid development in internet size,Information extraction on Internet is gaining its importance day by day. Nowadays there aremillions of Websites and billions of homepages available on the Internet. A large amount of onlineinformation resides on the invisible web - web pages generated dynamically from databasesand other data sources hidden from the user. They are not indexed by a static URL but isgenerated when queries are asked via a search engine (we denote them as specialized searchengines or vertical search engine). OpenFind states that it indexes 3.5 billion Web pages; Googleclaims 2.4 billion, AlltheWeb - 2.1 billion, Inktomi - a little more than 2 billion, WiseNut - 1.5billion and AltaVista - 1 billion Web pages. No search engine index more than one third of thetotal size of the web. So from this big collection of web pages information retrieval is a verycrucial task. The user query plays a vital role in the information retrieval process. N� de r�f. du vendeur 9786202922401

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Vertical Meta Search Engine with Query Expansion through ARFT

Satpal Singh Kushwaha

Edit� par LAP LAMBERT Academic Publishing Okt 2020, 2020

ISBN 10 : 6202922400 ISBN 13 : 9786202922401

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -World Wide Web is growing day by day so with this rapid development in internet size,Information extraction on Internet is gaining its importance day by day. Nowadays there aremillions of Websites and billions of homepages available on the Internet. A large amount of onlineinformation resides on the invisible web � web pages generated dynamically from databasesand other data sources hidden from the user. They are not indexed by a static URL but isgenerated when queries are asked via a search engine (we denote them as specialized searchengines or vertical search engine). OpenFind states that it indexes 3.5 billion Web pages; Googleclaims 2.4 billion, AlltheWeb - 2.1 billion, Inktomi - a little more than 2 billion, WiseNut - 1.5billion and AltaVista - 1 billion Web pages. No search engine index more than one third of thetotal size of the web. So from this big collection of web pages information retrieval is a verycrucial task. The user query plays a vital role in the information retrieval process.Books on Demand GmbH, �berseering 33, 22297 Hamburg 76 pp. Englisch. N� de r�f. du vendeur 9786202922401

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