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A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation

Published on December 2014 by Megha R. Sisode, Ujwala M. Patil
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National Conference on Emerging Trends in Information Technology
Foundation of Computer Science USA
NCETIT - Number 1
December 2014
Authors: Megha R. Sisode, Ujwala M. Patil
28694e0e-9573-41fa-b8c6-2e6a85a0f4f1

Megha R. Sisode, Ujwala M. Patil . A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation. National Conference on Emerging Trends in Information Technology. NCETIT, 1 (December 2014), 1-5.

@article{
author = { Megha R. Sisode, Ujwala M. Patil },
title = { A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation },
journal = { National Conference on Emerging Trends in Information Technology },
issue_date = { December 2014 },
volume = { NCETIT },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/ncetit/number1/19065-3002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Information Technology
%A Megha R. Sisode
%A Ujwala M. Patil
%T A Survey on Query Recommendation Techniques and Evaluation of Snippet based Query Recommendation
%J National Conference on Emerging Trends in Information Technology
%@ 0975-8887
%V NCETIT
%N 1
%P 1-5
%D 2014
%I International Journal of Computer Applications
Abstract

Recently web has been widely used for getting different kinds of information. Web mining is considered to store the information in a specific format known as weblog. This valuable mined information can be used in many applications such as query log analysis, query recommendation, query reformulation and many more for improved performance of search engine. Search engine provide the platform for users to describe their information need more clearly by using query recommendation. Previously there has been lot of work done for retrieving more relevant data to users in order to meet their information need thus improving performance of search engines. This paper reviews and compares different available methods in query log processing for information retrieval. Moreover the approach based on clicked snippets is better to understand users interaction process with search engines to find the appropriate information need.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Recommendations Knowledge Extraction Query Log Processing User Behaviour Analysis Query Intent Identification Search Engines.