Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

The Modified Model of Q-learning Search Strategy Based on LDA-DBN

Authors
Shihao Zhu, Guangfeng Zhang, Dongfan Zhao
Corresponding Author
Shihao Zhu
Available Online November 2016.
DOI
https://doi.org/10.2991/aiie-16.2016.3How to use a DOI?
Keywords
focused crawling; q-learning; LDA; DBN
Abstract

The network in web has the characteristic of information roughness. Focused crawling is able to grab the information selectively when topic relate to web page. In this paper, utilizing the characteristics of Gibbs using in DBN and LDA, in the sliding window containing the URL link to semantic recognition, the prediction of Q- learning can be used in LDADBN hybrid model, that is, when the URL link in the web pages.

Copyright
© 2016, 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 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/aiie-16.2016.3How to use a DOI?
Copyright
© 2016, 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  - Shihao Zhu
AU  - Guangfeng Zhang
AU  - Dongfan Zhao
PY  - 2016/11
DA  - 2016/11
TI  - The Modified Model of Q-learning Search Strategy Based on LDA-DBN
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.3
DO  - https://doi.org/10.2991/aiie-16.2016.3
ID  - Zhu2016/11
ER  -