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

機構典藏 > College of Business and Management > Graduate Institute & Department of Information Management > Journal Article > Item 987654321/21064

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Title:	Generating page clippings from web search results using a dynamically terminated genetic algorithm
Authors:	Chen, Lin-chih;Luh, Cheng-jye;周清江;Jou, Chi-chang
Contributors:	淡江大學資訊管理學系
Keywords:	Genetic algorithm;Information retrieval;Web search;Page clipping synthesis;Termination criteria
Date:	2005-06-01
Issue Date:	2009-11-30 13:12:37 (UTC+8)
Publisher:	Elsevier
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.
Relation:	Information Systems 30(4), pp.299-316
DOI:	10.1016/j.is.2004.04.002
Appears in Collections:	[Graduate Institute & Department of Information Management] Journal Article

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