Guided Navigation Using Query Log Mining through Query Expansion


Yurekli B., ÇAPAN G., Yilmazel B., YILMAZEL Ö.

3rd International Conference on Network and System Security, Surfers Paradise, Avustralya, 19 - 21 Ekim 2009, ss.560-564 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/nss.2009.27
  • Basıldığı Şehir: Surfers Paradise
  • Basıldığı Ülke: Avustralya
  • Sayfa Sayıları: ss.560-564
  • Anahtar Kelimeler: query expansion, query log mining, guided navigation, performance
  • Anadolu Üniversitesi Adresli: Evet

Özet

We introduce a method to help people to refine their search queries based on other people's similar queries. We compared two different methods of collaborative filtering on search logs of a popular e-commerce site to do query expansion. In item-based method, by identifying similarities between different items, and in user-based method, by identifying similarities between different users, we compute recommendations for users. The experimental results show that item-based query expansion method provides better performance than the user-based method. While the user-based method improved the system performance 20%, the item-based method provided success of 73%. Also, item-based method recommended better expansion terms than the user-based method, which is important in helping web users to easily access information needs by formulating qualified queries. This document is a comparison of these two methods, and their effects on system performance.