DEFINING TOPIC BOUNDARIES IN SEARCH ENGINE TRANSACTION LOGS USING GENETIC ALGORITHMS

ÖZMUTLU S., Cosar C. G.

APPLIED ARTIFICIAL INTELLIGENCE, cilt.23, sa.10, ss.910-931, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23 Sayı: 10
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1080/08839510903363446
  • Dergi Adı: APPLIED ARTIFICIAL INTELLIGENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.910-931
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This study proposes to use genetic algorithms for defining the topic boundaries in search of engine transaction logs. Users are interested in multiple topics during a search session, and genetic algorithms are used in this study to determine whether a search engine user has changed topics during a session. Sample data logs from FAST and Excite search engines were analyzed. The findings show that genetic algorithms are fairly successful in identifying topic continuations and shifts in search engine transaction logs.