Getting work done on the web: supporting transactional queries

  • Authors:
  • Yunyao Li;Rajasekar Krishnamurthy;Shivakumar Vaithyanathan;H. V. Jagadish

  • Affiliations:
  • University of Michigan, Ann Arbor, MI;IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA;University of Michigan, Ann Arbor, MI

  • Venue:
  • SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2006

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Abstract

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.