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Employee Searching based on User and Query-Dependent Ranking

by Soumya S., Vismi V., Jeena C. D., Nisha Oommachen
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 5
Year of Publication: 2013
Authors: Soumya S., Vismi V., Jeena C. D., Nisha Oommachen
10.5120/10074-4686

Soumya S., Vismi V., Jeena C. D., Nisha Oommachen . Employee Searching based on User and Query-Dependent Ranking. International Journal of Computer Applications. 62, 5 ( January 2013), 5-8. DOI=10.5120/10074-4686

@article{ 10.5120/10074-4686,
author = { Soumya S., Vismi V., Jeena C. D., Nisha Oommachen },
title = { Employee Searching based on User and Query-Dependent Ranking },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 5 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number5/10074-4686/ },
doi = { 10.5120/10074-4686 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:52.273846+05:30
%A Soumya S.
%A Vismi V.
%A Jeena C. D.
%A Nisha Oommachen
%T Employee Searching based on User and Query-Dependent Ranking
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 5
%P 5-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The growth of the Web and the Internet leads to the development of an ever increasing number of interesting application classes. The most common method used now in companies is normal recruitment process. If a company wants an employee immediately, the only way for recruitment is advertising in any media. After receiving applications from the employees, they need to check the qualification, experience etc. It is a time required process. This paper proposes a method for employee searching by using a user and query dependent ranking. Here present a ranking model based on user inputs. This ranking model is acquired from several other ranking functions derived for various user-query pairs. This is based on the intuition that similar users display comparable ranking preferences over the result of similar queries. This paper gives an idea about how the ranking can be used.

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Index Terms

Computer Science
Information Sciences

Keywords

User Similarity Query Similarity Automatic Ranking Workload Relational Queries

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