@inproceedings{6d5f712cb7b24c12b7c958b204b96146,
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",
year = "2010",
language = "英语",
isbn = "9781577354666",
series = "Proceedings of the National Conference on Artificial Intelligence",
publisher = "AI Access Foundation",
pages = "1967--1968",
booktitle = "AAAI-10 / IAAI-10 - Proceedings of the 24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference",
note = "24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference, AAAI-10 / IAAI-10 ; Conference date: 11-07-2010 Through 15-07-2010",
}