Generating page clippings from web search results using a dynamically terminated genetic algorithm

  • Authors:
  • Lin-Chih Chen;Cheng-Jye Luh;Chichang Jou

  • Affiliations:
  • Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan;Department of Information Management, Yuan-Ze University, Jung-Li, Tao Yuan, Taiwan;Department of Information Management, Tamkang University, Tamsui, Taipei, Taiwan

  • Venue:
  • Information Systems
  • Year:
  • 2005

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Abstract

We present a page clipping synthesis (PCS) search method to extract relevant paragraphs from other web search results. The PCS search method applies a dynamically terminated genetic algorithm to generate a set of best-of-run page clippings in a controlled amount of time. These page clippings provide users the information they are most interested in and therefore save the users time and trouble in browsing lots of hyperlinks. We justify that the dynamically terminated genetic algorithm yields cost-effective solutions compared with solutions reached by conventional genetic algorithms. Meanwhile, effectiveness measure confirmed that PCS performs better than general search engines.