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Query Recommendation in Hidden Web Search Engine using Web Log Mining Techniques

by Khushboo Gulati, Narender
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 13
Year of Publication: 2014
Authors: Khushboo Gulati, Narender
10.5120/17873-8648

Khushboo Gulati, Narender . Query Recommendation in Hidden Web Search Engine using Web Log Mining Techniques. International Journal of Computer Applications. 102, 13 ( September 2014), 6-9. DOI=10.5120/17873-8648

@article{ 10.5120/17873-8648,
author = { Khushboo Gulati, Narender },
title = { Query Recommendation in Hidden Web Search Engine using Web Log Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 13 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number13/17873-8648/ },
doi = { 10.5120/17873-8648 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:59.800696+05:30
%A Khushboo Gulati
%A Narender
%T Query Recommendation in Hidden Web Search Engine using Web Log Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 13
%P 6-9
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today a large amount of information on the Web is available only via search interfaces-the users are required to type in the set of keywords in search form in order to get the desired results from some websites. These websites are generally referred to as the Hidden web or Deep Web. Traditional search engines crawlers cannot index such pages because there are no static links to them. But with continuous advancement in the search engine technologies, most of the traditional search engines can now locate these deep web sources. In this paper, a new approach of query recommendation in hidden web search engine is introduced that would recommend queries to users on the basis of the user browsing behavior.

References
  1. BrightPlanet. com, "Understanding the Deep Web in 10 Minutes", http://brightplanet. com
  2. BrightPlanet. com, "The Deep Web: Surfacing Hidden Value", http://brightplanet. com.
  3. Jayant Madhavan, David Ko, Lucja Kot, "Google's deep-web crawl", VLDB '08, August 24-30, 2008, Auckland, New Zealand, p-1241-1252.
  4. Neelam Duhan, A. K. Sharma, "Rank optimization and query recommendation in search engines using web log mining techniques", Journal of Computing, Volume 2, Issue 12, December 2010, ISSN 2151-961, p-97-104.
  5. Doug Beeferman and Adam Berger, 2000,"Agglomerative clustering of a search engine query log". In proceedings of the 6th ACMSIGKDD International Conference on Knowledge Discovery and Data Mining, (August). ACM Press, New York, NY, 407-416.
  6. Sriram Raghavan, Hector Garcia-Molina, "Crawling the hidden web", in Proceedings of the 27th VLDB Conference, 2001.
  7. Alexandrous Ntoulas, Petros Zerfos, Junghoo Cho, "Downloading textual hidden web content through keyword queries", in Proc. 5th ACM/IEEE, Joint Conference on Digital Libraries(JCDL), 2005, p 100-109
  8. Tantan Liu, Gagan aggarwal, "Stratification based heirarchical clustering over a deep web data source", pg-70-81.
  9. Supriya, Meenakshi Sharma, "Deep web data mining", dInternational Journal of IT, Engineering and Applied Sciences Research (IJIEASR),Volume 2, No. 3, March 2013, p 69-71.
  10. Luciano Barbosa, Juliana Freire, "Searching for hidden-web databases", in Proc the 8th International Workshop on the Web and Databases (webDB 2005), June 16-17, 2005.
  11. J. Wen, J. Mie, and H. Zhang, "Clustering user queries of a search engine". In Proc. at 10th International World Wide Web Conference. W3C, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Hidden Web Hidden Web Crawler Web Mining Query Recommendation.

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