@inproceedings{f0679ab814eb4776b94c1ec0a2412248,
title = "Learning to Surface Deep Web Content",
abstract = "We propose a novel deep web crawling framework based on reinforcement learning. The crawler is regarded as an agent and deep web database as the environment. The agent perceives its current state and submits a selected action (query) to the environment according to Q-value. Based on the framework we develop an adaptive crawling method. Experimental results show that it outperforms the state of art methods in crawling capability and breaks through the assumption of full-text search implied by existing methods.",
author = "Zhaohui Wu and Lu Jiang and Qinghua Zheng and Jun Liu",
note = "Publisher Copyright: Copyright {\textcopyright} 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 24th AAAI Conference on Artificial Intelligence, AAAI 2010 ; Conference date: 11-07-2010 Through 15-07-2010",
year = "2010",
month = jul,
day = "15",
language = "英语",
series = "Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010",
publisher = "AAAI press",
pages = "1967--1968",
booktitle = "Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010",
}