A Monte-Carlo simulation application for automatic new topic identification of search engine transaction logs

ÖZMUTLU S., ÖZMUTLU H. C., Buyuk B.

SIMULATION MODELLING PRACTICE AND THEORY, cilt.16, sa.5, ss.519-538, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 5
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.simpat.2008.02.005
  • Dergi Adı: SIMULATION MODELLING PRACTICE AND THEORY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.519-538
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

One of the most important dimensions of Web user information seeking behavior and search engine research is content-based behavior, and limited research has focused on content-based behavior of search engine users. The purpose of this study is to perform automatic new topic identification in search engine transaction logs using Monte-Carlo simulation. Sample data logs from FAST and Excite are used in the study. Findings show that Monte-Carlo simulation for new topic identification yields satisfactory results in terms of identifying topic continuations; however, the performance measures regarding topic shifts should be improved. (C) 2008 Elsevier B.V. All rights reserved.