Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/133

 Title: Applying Genetic Algorithm In Query Improvement Problem Authors: Abdelmgeid, Aly Keywords: Genetic Algorithm Issue Date: 2007 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: This paper presents an adaptive method using genetic algorithm to modify user’s queries, based on relevance judgments. This algorithm was adapted for the three well-known documents collections (CISI, NLP and CACM). The method is shown to be applicable to large text collections, where more relevant documents are presented to users in the genetic modification. The algorithm shows the effects of applying GA to improve the effectiveness of queries in IR systems. Further studies are planned to adjust the system parameters to improve its effectiveness. The goal is to retrieve most relevant documents with less number of non-relevant documents with respect to user's query in information retrieval system using genetic algorithm. URI: http://hdl.handle.net/10525/133 ISSN: 1313-048X Appears in Collections: Volume 1 Number 4

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