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

DOI

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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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  - 10.2991/aiie-16.2016.3
ID  - Zhu2016/11
ER  -