An Information Retrieval Expansion Model Based on Quasi-Clique

DOI

10.2991/esac-15.2015.38How to use a DOI?

Keywords

Information retrieval, Query expansion, Quasi-clique, Markov network retrieval

Abstract

Query expansion is an important technology for improving retrieval performance in information retrieval. Many Studies have found contexts within query that strongly influence the interpretation of a query. In this paper, we propose the graph mining technique called Quasi-Clique as query context in Markov network retrieval model. Our approach exploits contextual information mined from the term Markov network for per query term in addition to syntactic similarity. The proposal in our work is benefit to select more relevant terms for query expansion and to improve precision in information retrieval.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lixin Gan
AU  - Wei Tu
AU  - Ying Xiong
PY  - 2015/08
DA  - 2015/08
TI  - An Information Retrieval Expansion Model Based on Quasi-Clique
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 153
EP  - 155
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.38
DO  - 10.2991/esac-15.2015.38
ID  - Gan2015/08
ER  -