The Modified Model of Q-learning Search Strategy Based on LDA-DBN
- https://doi.org/10.2991/aiie-16.2016.3How to use a DOI?
- focused crawling; q-learning; LDA; DBN
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.
- © 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 -