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

Brossura

ISBN 10: 6202922400 ISBN 13: 9786202922401

Casa editrice: LAP LAMBERT Academic Publishing, 2020

Riassunto

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.

Dettagli dell?edizione

• 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; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania