Information Retrieval Using Modified Genetic Algorithm

Several techniques proposed to retrieve the most relevant HTML documents to user query. Genetic algorithm (GA) one of these technique, which creates several generations iteratively using the operations of: selection, crossover and mutation before producing the results. In this paper, focuses on enha...

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Veröffentlicht in:Al Mansour Journal 2017, Vol.2017 (27), p.15-35
Hauptverfasser: عبدالحسن، علياء كريم, عبدالواحد، سارة نجم, مهاوى، دعاء نتيشة
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container_end_page 35
container_issue 27
container_start_page 15
container_title Al Mansour Journal
container_volume 2017
creator عبدالحسن، علياء كريم
عبدالواحد، سارة نجم
مهاوى، دعاء نتيشة
description Several techniques proposed to retrieve the most relevant HTML documents to user query. Genetic algorithm (GA) one of these technique, which creates several generations iteratively using the operations of: selection, crossover and mutation before producing the results. In this paper, focuses on enhance the operations of GA and proposed new fitness function to enhance the quality of the retrieved results. This technique applied to HTML documents and using recall, precision measures to evaluate. The results show high improvement in the retrieved documents quality in terms of these measures.
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subjects إسترجاع المعلومات
استرجاع المعلومات
الخوارزميات
الخوارزمية الجينية
الوثائق
شبكات المعلومات
علم الخوارزيميات
معالجة البيانات
نقل المعلومات
title Information Retrieval Using Modified Genetic Algorithm
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