A hierarchical approach to wrapper induction
Proceedings of the third annual conference on Autonomous Agents
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Active learning for hierarchical wrapper induction
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Conceptual-model-based data extraction from multiple-record Web pages
Data & Knowledge Engineering
Hierarchical Wrapper Induction for Semistructured Information Sources
Autonomous Agents and Multi-Agent Systems
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
Kavosh: An Intelligent Neuro-Fuzzy Search Engine
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
Research on Design of an Automatic Evaluation System of Search Engine
FCC '09 Proceedings of the 2009 ETP International Conference on Future Computer and Communication
DOM-based web pages to determine the structure of the similarity algorithm
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
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This paper proposes a strategy to personalized the Internet searching, which would help to filter, extract and integrate the massive information from the web based on the specific user requirements in the hopes that it can relieve them from the tedious process of manually selecting and retrieving the relevant information as well as the confusion caused by the inconsistencies of the information. The strategy proposed in this paper has been applied to the searching of the laptop product information and the result shows a much less human effort involved and a much more accurate price range.