کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
379041 659255 2010 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Structure of morphologically expanded queries: A genetic algorithm approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Structure of morphologically expanded queries: A genetic algorithm approach
چکیده انگلیسی

In this paper we deal with two issues. First, we discuss the negative effects of term correlation in query expansion algorithms, and we propose a novel and simple method (query clauses) to represent expanded queries which may alleviate some of these negative effects. Second, we discuss a method to optimize local query-expansion methods using genetic algorithms, and we apply this method to improve stemming. We evaluate this method with the novel query representation method and show very significant improvements for the problem of stemming optimization.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data & Knowledge Engineering - Volume 69, Issue 3, March 2010, Pages 279–289
نویسندگان
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