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6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
A Domain Identification Algorithm for Personalised Query Expansion with Contextual Information
Melbourne, Australia
July 11-July 13
ISBN: 0-7695-2841-4
ASCII Text
x 
 
I. Seher, A. Ginige, S. A. Shahrestani, "A Domain Identification Algorithm for Personalised Query Expansion with Contextual Information," Computer and Information Science, ACIS International Conference on, pp. 67-72, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/ICIS.2007.16,
author = {I. Seher and A. Ginige and S. A. Shahrestani},
title = {A Domain Identification Algorithm for Personalised Query Expansion with Contextual Information},
journal ={Computer and Information Science, ACIS International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2841-4},
pages = {67-72},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Science, ACIS International Conference on
TI - A Domain Identification Algorithm for Personalised Query Expansion with Contextual Information
SN - 0-7695-2841-4
SP67
EP72
A1 - I. Seher,
A1 - A. Ginige,
A1 - S. A. Shahrestani,
PY - 2007
KW - null
VL - 0
JA - Computer and Information Science, ACIS International Conference on
ER -
 
I. Seher, University of Western Sydney, Australia
A. Ginige, University of Western Sydney, Australia
S. A. Shahrestani, University of Western Sydney, Australia
Human communications are quite successful and seem to be very easy. Human communication is more successful when there is an implicit understanding of everyday situations of others who take part in the communication. Similar to human communication, if an automated system could keep or capture the contextual information related to a user and the query, then it could use this information to process the query, resulting more useful answers. As this contextual information depends on the query domain, if the automated system could identify the domain of the query, then it could expand the query with domain specific contextual information and user preferences related to the query domain. This paper briefs the requirements of such a query expansion and describes an algorithm to identify application domains of user queries.
Citation:
I. Seher, A. Ginige, S. A. Shahrestani, "A Domain Identification Algorithm for Personalised Query Expansion with Contextual Information," icis, pp.67-72, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
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