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

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
Brossura
ISBN 10: 6202922400 ISBN 13: 9786202922401
Casa editrice: LAP LAMBERT Academic Publishing, 2020

Sinossi

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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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
6202922400
ISBN 13 
9786202922401
Rilegatura
Copertina flessibile
Numero di pagine
76
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
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