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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 12    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 12, December 2011
Web Search Engine
Full Text(PDF, 3000)  PP.  
Author(s)
G.Hanumantha Rao, G.Narender, B.Srinivasa Rao, M.Srilatha
KEYWORDS
Search Engine, Index, Web page and keyword.
ABSTRACT
This paper explains how to make the process of searching in the search engine very efficient and more accurate and also how to reduce the number of unwanted search results in the searching process. They answer tens of millions of queries every day. Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms. Instead of searching the keywords in total indexes present in the indexer if we reduce the number of search indexes by providing some conditions then we can reduce the number of search results. In this paper we present details of how to reduce the number of indexes that are not exactly suitable for our query that contain the number of keywords.
References
[1] Google Search Engine http://google.stanford.edu/

[2] Search Engine Watch http://www.searchenginewatch.com/

[3] SearchEnginesWork Shops http://www.searchengineworkshops.com/

[4] Brin, S. and L. Page, 1998, the anatomy of a large scale hypertextual Web search engine, Proc. 7th World Wide Web Conference

[5] V o Ngoc Anh and Alistair Moffat. Improved retrieval effec-tiveness through impacttransformation.I n Proceedings of the Thirteenth Australasian Database Conference, Melbourne, Australia, in press.

[6] Broder, A. (2002): taxonomy of web search. SIGIR Forum 36(2).http://www.acm.org/sigir/forum/F2002/broder.pdf [22.8.2005]

[7] Page, L., Brin, S., Motwani, R., Winograd, T. (1998): The PageRank citation ranking: Bringing order to the Web. http://dbpubs.stanford.edu:8090/ pub/1999-66 [22.8.2005]

[8] P.Faraday.”Attending to web pages” CHI2001 Extended Ab-stracts (poster), 2001, pages 159-160.

[9] N.Craswell, D.Hawking and S.Robertson,”Effective site finding using Link Anchor Information” In proceeding of the ACM SIGIR conference on research and development in information retrieval, 2001.

[10] Singhal, Amit (2004): Challenges in Running a Commercial Search Engine. http://www.research.ibm.com/haifa/Workshops/searchand- collaboration2004/papers/haifa.pdf

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