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ARAMA MOTORLARINDA YENİ KONU TANILAMADA KARAKTER N-GRAM VE YAPAY SİNİR AĞLARI UYGULAMASI

Character N-gram and Neural Network Application for New Topic Identification in Search Engines

Journal Name:

  • Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

Publication Year:

  • 2009

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Nowadays, the estimate of web users’ behaviors has been important due to the web search engine usage increase. To date, many content-ignorant studies have been performed for automatic new topic identification. Although, some studies performed well, it was observed that they often made mistakes when queries had spelling differences. In this study the character n-gram methodology, which is content ignorant, was used for new topic identification. In addition, it was aimed to improve previous content-ignorant studies. Consideration of previous studies it was observed that the neural network applications gave better results than the other studies. Thus, the neural network method’s estimations were used in this study and character n-gram methodology was used in order to eliminate wrong estimations, because of spelling errors.
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Abstract (Original Language): 
Günümüzde, arama motorlarının kullanımının artmasıyla beraber kullanıcı davranışlarının tahmini önem kazanmıştır. Bugüne kadar anlam bazlı olmayan pek çok yöntem yeni konu tanılamada kullanılmıştır. Bazı çalışmalardan iyi sonuçlar elde edilmesine rağmen, genelde çalışmaların yazım farklılığı içeren sorgularda hatalı tahminler yaptığı gözlenmiştir. Bu çalışmada, anlam bazlı olmayan, karakter n-gram yöntemi, yeni konu tanılamada kullanılmıştır. Bununla beraber karakter n-gram yöntemiyle önceki anlam bazlı olmayan çalışmaları iyileştirmek hedeflenmiştir. Önceki çalışmalar incelendiğinde yapay sinir ağları yönteminin diğerlerinden daha iyi sonuçlar verdiği gözlenmiştir. Bu yüzden, çalışmada yapay sinir ağları yönteminin tahminleri kullanılmış ve yazım yanlışlarından kaynaklanan hatalı tahminlerin giderilmesi için karakter n-gram yöntemi kullanılmıştır.
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  • 2
75-91
  • Turkish

REFERENCES

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