Using conditional probabilities for automatic new topic identification

Ozmutlu S., Ozmutlu H. C., Buyuk B.

ONLINE INFORMATION REVIEW, cilt.31, sa.4, ss.491-515, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 4
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1108/14684520710780449
  • Dergi Adı: ONLINE INFORMATION REVIEW
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.491-515
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Purpose - One of the most important dimensions of search engine user information seeking behaviour is content-based behaviour. One of the main elements in developing a personalised intelligent search engine is new topic identification. The purpose of this study is to perform automatic new topic identification in search engine transaction logs using conditional probabilities of new topic arrivals.