Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

Algorithm of Repeated Results Re-ranking based on Polysemy

Authors
Pengwei Guo, Bin Zhang, Da-ming Sun
Corresponding Author
Pengwei Guo
Available Online January 2015.
DOI
https://doi.org/10.2991/iccset-14.2015.100How to use a DOI?
Keywords
polysemy, re-rank, search, concept lattice
Abstract

In order to make search results better fit users’ current search interest, this paper proposes an algorithm of repeated results re-ranking using a model of polysemy. The algorithm considers the characteristics of the keywords to improve the rank of repeated results. Based on the analysis of polysemy of the keywords, we propose a polysemous model of concept lattice, then we combine with the user interest model to change the rank of repeated results in a search session. The method of this paper considers the impact of polysemy of keywords which may improve the ranking. The experimental results show that the process based on the polysemy of the keyword can reduce the length of the search session, especially when the keywords have multiple meanings.

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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Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
978-94-62520-47-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccset-14.2015.100How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Pengwei Guo
AU  - Bin Zhang
AU  - Da-ming Sun
PY  - 2015/01
DA  - 2015/01
TI  - Algorithm of Repeated Results Re-ranking based on Polysemy
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 448
EP  - 455
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.100
DO  - https://doi.org/10.2991/iccset-14.2015.100
ID  - Guo2015/01
ER  -