An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Genres and the Web: is the personal home page the first uniquely digital genre?
Journal of the American Society for Information Science
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WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
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Information Processing and Management: an International Journal
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HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the 21st ACM international conference on Information and knowledge management
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Many searches on the web have a transactional intent. We argue that pages satisfying transactional needs can be distinguished from the more common pages that have some information and links, but cannot be used to execute a transaction. Based on this hypothesis, we provide a recipe for constructing a transaction annotator. By constructing an annotator with one corpus and then demonstrating its classification performance on another,we establish its robustness. Finally, we show experimentally that a search procedure that exploits such pre-annotation greatly outperforms traditional search for retrieving transactional pages.