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Query Recommendation for Long Tail Queries-A Review Paper

by Anand Prasad Gupta, Sunita Yadav
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 13
Year of Publication: 2012
Authors: Anand Prasad Gupta, Sunita Yadav
10.5120/4880-7315

Anand Prasad Gupta, Sunita Yadav . Query Recommendation for Long Tail Queries-A Review Paper. International Journal of Computer Applications. 39, 13 ( February 2012), 14-17. DOI=10.5120/4880-7315

@article{ 10.5120/4880-7315,
author = { Anand Prasad Gupta, Sunita Yadav },
title = { Query Recommendation for Long Tail Queries-A Review Paper },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 13 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number13/4880-7315/ },
doi = { 10.5120/4880-7315 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:22.080657+05:30
%A Anand Prasad Gupta
%A Sunita Yadav
%T Query Recommendation for Long Tail Queries-A Review Paper
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 13
%P 14-17
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Large volume of queries over large volume of users allows search engine to build methods for generating query suggestion for input query. Query recommendation methods are powerful technique to generate related queries or alternate queries as a query suggestion for original query which is given by user in the search engine first time. In this review paper we discussed about query recommendation methods and comparison between different methods how the query suggestion is given by these methods for the input query by user in search engine. Some query recommendation method do not covers the unseen and rare queries but some of them covers these queries by some additional feature added such as generalize the query token of input query by a suitable place holder from hierarchy tool wordnet3.0 or wekepedia by yago mapping. These generalization techniques are also discussed in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Query suggestion query log query session click through Web search query templates query recommendation

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